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Data Architect - CPG Domain / Azure Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit ___ for more information about Fractal Location: London Core Technical Responsibilities • CPG domain experience is mandatory, • Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse), • Be hands-on in development, debugging, optimization, and production support of data pipelines, • Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability, • Implement data modeling, transformation, and orchestration patterns aligned with best practices, • Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning, • Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs Architecture & Design • Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption, • Translate business and analytical requirements into practical, scalable data solutions, • Support data governance practices including metadata, lineage, data quality checks, and access controls, • Work within hybrid environments (on-prem to cloud) and support modernization initiatives, • Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts), • Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions Team & Delivery Responsibilities • Act as a technical anchor for a data engineering team, • Provide technical guidance, code reviews, and mentoring to engineers, • Own delivery for assigned data products or pipelines — from design through deployment, • Collaborate with product owners, analysts, and architects to clarify requirements and priorities Stakeholder & Communication • Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions, • Clearly communicate technical designs and trade-offs to both technical and non-technical audiences, • Escalate risks and propose mitigation strategies proactively, • Support documentation of architecture, pipelines, and operational processes Good to Have • Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics), • Awareness of LLMs / Agentic AI architectures from a data platform perspective, • Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift, • Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.), • Experience working in CPG, Retail, Supply Chain, or similar domains If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

\n Join Our Team as a Systems Engineer - Product Security (Edgewing)\n \n Location: Reading area. This role can be contracted to any BAE Systems AIR site, but you'll start with our Edgewing JV in Reading. We understand that relocation can be a big step, so a financial support package may be available based on certain criteria. While we anticipate a need for mostly on-site work, we’re open to discussing flexible working arrangements—just ask your recruiter! \n \n Salary: Starting at £59,490+ (Dependent on Experience) \n \n Who We Are\n At BAE Systems, you’re not just taking a job; you’re joining a mission. As a valued member of our global network, your unique skills and perspectives will help us pioneer progress and protect what matters most. Together, we’ll deliver advanced, technology-led defense, aerospace, and security solutions that shape a safer future for everyone. \n \n From the depths of the ocean to the far reaches of space, your career at BAE Systems has no limits! \n \n Role Description\n As a Product Security Specialist, you will play a crucial role in ensuring that security requirements are seamlessly integrated into the design, development, validation, and maintenance of GCAP products and systems. You’ll provide domain expertise to assess risks, develop technical security controls, generate evidence for certification, and ensure compliance with policies and regulations. This hands-on, technical role is deeply embedded in engineering and digital development activities, supporting evidence generation for Cybersecurity Airworthiness (DO-326B / ED-202B and related standards). \n \n Core Duties\n \n • Apply product security requirements to system and subsystem design, ensuring compliance with contractual, legal, and regulatory standards.\n, • Produce and maintain product security engineering artifacts, including risk assessments and security posture statements.\n, • Execute processes defined within the Product Security Management System (PSMS) and propose improvements when gaps are identified.\n, • Support evidence generation required for Cybersecurity.\n, • Conduct security analyses, threat modeling, and vulnerability assessments within the digital engineering environment.\n, • Support incident investigations and maintain accurate records of product-security-relevant decisions.\n \n \n Essential Skills\n \n, • Experience in product, system, or cyber security engineering industries (Internal BAE Systems training is available for Product Security specialization).\n, • Awareness of secure-by-design principles, threat modeling, risk assessment methodologies, and security control design.\n, • Practical knowledge of security policies, standards, and good practice frameworks in highly regulated industries.\n #LI-JE1 \n #LI-Hybrid \n

We are looking for talented (Junior) Architectural Designers to join Büro Ole Scheeren’s international practice in London. We offer the opportunity to work on high-profile architectural commissions globally with potential to grow into a strong member of our global design network. Qualifications: • You have an excellent academic background with a professional degree in Architecture, Urban Planning or related field., • Your track record encompasses at least 4 years post-qualification work experience in an international, design-led architecture environment., • Ability to articulate concepts precisely, comprehensibly, and in a graphically engaging manner., • Strong conceptual, design and graphical skills., • Ability to perform and deliver in a highly dynamic and ambitious work environment, • You articulate concepts precisely, comprehensibly, and in a graphically engaging manner. Ability to work well as part of a team in an international environment, • Able to clearly represent and explain ideas through visualization (diagrams, models, sketches, drawings, renderings), • You enjoy being part of an international team and are able to perform and deliver in a highly dynamic and ambitious work environment., • 3D modeling experience in Rhino; proficiency in AutoCAD, Adobe Creative Suite, Grasshopper and scripting are beneficial, • Fluency in English; additional language skills are a plus, • Salary will be commensurate with ability and experience We are looking for a quick hire and therefore candidates with relevant permits for working in the UK are preferred. We will review applications on a rolling basis. No agencies please. Buro Ole Scheeren is an equal opportunities employer. Buro Ole Scheeren is an international architecture practice with offices in Hong Kong, Beijing, London and Berlin that designs and realizes pioneering building projects and urban developments worldwide. In this position you will be working closely with the senior management and an international team on a range of worldwide projects. Please attach your CV and portfolio to your application or email them to (in PDF format less than 10MB, no web links please) quoting ‘(Junior) Architectural Designer, London’ in the subject line of your e-mail. All applications will be treated as confidential.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Research analysts to work with our researchers to improve the performance of AI models. You will apply your expertise in equity research, sector analysis, financial modeling, and investment thesis development to evaluate and train AI systems. If you enjoy solving complex problems in financial research and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on research topics such as equity valuation, sector analysis, earnings estimate modeling, and investment thesis formulation., • Create rubrics to assess model capabilities on tasks like DCF modeling, comparable company analysis, industry research, and initiating coverage reports., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Equity Research, Credit Research, or Sell-Side/Buy-Side Research., • Strong grasp of financial statement analysis, valuation methodologies, sector dynamics, and investment recommendation frameworks., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Venture Capital professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in startup evaluation, funding rounds, cap table management, and early-stage market analysis to evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing., • Create rubrics to assess model capabilities on tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund operations, or startup advisory)., • Strong grasp of startup valuation methods, term sheet negotiation, cap table mechanics, and venture fund economics., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), MBA in Finance, or operational experience at a high-growth startup. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification., • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and backtesting methodologies., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modeling)., • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Private Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in deal sourcing, due diligence, LBO analysis, and portfolio value creation to evaluate and train AI systems. If you enjoy solving complex problems in private equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on private equity topics such as LBO structuring, deal screening, operational value creation, and exit strategy analysis., • Create rubrics to assess model capabilities on tasks like fund return modeling (IRR, MOIC), due diligence frameworks, and portfolio company analysis., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Private Equity (e.g., buyout funds, growth equity, distressed investing, or PE-focused advisory)., • Strong grasp of LBO modeling, deal evaluation, portfolio company management, and fund economics., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III), CPA, or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview Turing is looking for Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like • Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modeling, accretion/dilution analysis, and pitch book creation., • Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments., • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements • 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring)., • Strong grasp of financial modeling, deal structuring, valuation methodologies, and corporate finance principles., • Excellent English written communication. Bonuses (Not at All Necessary) • CFA (Level I/II/III) or MBA in Finance. Perks of Freelancing with Turing • Work on the cutting edge of AI and finance., • Fully remote and flexible work environment., • Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details • Commitment: Flexible, 10–30 hrs/week., • Duration: ~1 month, with the possibility of extension based on performance and project needs. After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The Adaptive Planning Professional Services team is dedicated to bringing the full value of Workday's Adaptive Planning product to life for our customers. As implementation consultants, we partner with a diverse portfolio of customers to help them transform how they plan, budget, forecast, and report across their Finance functions. Our team sits at the heart of customer success, guiding organizations through end-to-end implementations of Workday Adaptive Planning. We collaborate closely with project managers, technical consultants, and customer teams to ensure every deployment delivers meaningful outcomes. What makes this team special is the variety of work and the impact we have - no two implementations are the same, and you will be continuously learning and growing as you help customers across industries unlock the potential of modern planning solutions. About the Role As a Functional Consultant on the Adaptive Planning team, you will play a key role in the end-to-end implementation of Workday's Adaptive Planning product across a varied portfolio of customers. You will act as a trusted advisor, either leading or supporting the implementation of single or multiple Finance functional streams on any given project. This role requires a blend of functional and technical consulting skills relating to the implementation of business software applications. As a Workday Consultant, you are a business consultant who brings expertise in the functional aspects of the Workday platform and translates that knowledge into solutions that meet each customer's unique needs. In this role, you will be responsible for: • Leading or supporting the implementation of Workday Adaptive Planning across Finance and HCM functional streams, ensuring solutions are designed to address customer business challenges, • Conducting discovery sessions and requirements gathering workshops to understand customer needs, use cases, and goals, and translating those into well-defined solution designs, • Configuring and deploying Adaptive Planning solutions, including financial models, reports, dashboards, and integrations, in alignment with customer requirements, • Serving as a trusted advisor to customers throughout the implementation lifecycle, providing guidance on best practices and helping them get the most out of the platform, • Collaborating with project team members, including project managers and technical consultants, to ensure implementations are delivered on time and to a high standard, • Contributing to continuous improvement by sharing knowledge, developing best practices, and mentoring team members About You • Excellent interpersonal and written communication skills to articulate commercial terms clearly during negotiations with renewing customers., • Comfortable investigating and resolving complex customer dynamics during the renewal process., • Ability to quickly prioritize a high volume of work and execute efficiently under tight deadlines., • Self-driven and autonomous, with a strong sense of ownership over a large, complex portfolio., • Strong analytical skills with a detail-oriented, process-minded approach., • Great Workday ambassador, modeling core values and contributing to a strong, positive culture. Basic Qualifications • 5+ years of related experience in consulting, either as an internal consultant or with a consulting or software company, • Experience working with or implementing a Tier 1 Planning software application such as Workday Adaptive Planning, Anaplan, OneStream, Hyperion, or a similar application, • Business fluency in English Other Qualifications • Skilled in requirements gathering, with the ability to lead discovery sessions using techniques such as interviews, workshops, and use case development to accurately identify and define customer needs, ensuring implementations are clearly scoped and aligned with business objective, • Excellent communication skills, both verbal and written, with the ability to adapt your style to different audiences - from Finance teams to senior leadership - and to present complex information in a clear and engaging manner, • Experienced in influencing and guiding customer decisions through persuasive and consultative communication, helping drive alignment across project teams and fostering collaboration on implementation approach and design, • Demonstrated ability in relationship management, including building and maintaining trusted advisor relationships with customers throughout the implementation lifecycle, improving customer satisfaction and fostering long-term partnerships, • Proficient in solutions design, with experience identifying complex business challenges and designing tailored Adaptive Planning configurations and models that improve efficiency, reporting, and decision-making for customer Finance teams, • A collaborative team player who contributes to a positive and productive project environment, works effectively with cross-functional team members, and shares knowledge to help improve overall team delivery, • Relevant educational qualifications and/or experience implementing or supporting cloud Planning or EPM solutions, • Experience with implementing Workforce Planning solutions is a plus, • Well-versed in all financial statements and the interaction between them, • Resourceful and adaptable, comfortable working remotely and utilizing a variety of tools with a high degree of autonomy, • A genuine passion for delivering exceptional levels of customer service and a desire to learn new technology quickly through a variety of mediums Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email ___. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Lead Data Architect - Azure / CPG Industry Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit ___ for more information about Fractal Location: London Core Technical Responsibilities • Ideally with previous Consultancy and CPG industry experience, • Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse), • Be hands-on in development, debugging, optimization, and production support of data pipelines, • Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability, • Implement data modeling, transformation, and orchestration patterns aligned with best practices, • Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning, • Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs Architecture & Design • Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption, • Translate business and analytical requirements into practical, scalable data solutions, • Support data governance practices including metadata, lineage, data quality checks, and access controls, • Work within hybrid environments (on-prem to cloud) and support modernization initiatives, • Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts), • Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions Team & Delivery Responsibilities • Act as a technical anchor for a data engineering team, • Provide technical guidance, code reviews, and mentoring to engineers, • Own delivery for assigned data products or pipelines — from design through deployment, • Collaborate with product owners, analysts, and architects to clarify requirements and priorities Stakeholder & Communication • Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions, • Clearly communicate technical designs and trade-offs to both technical and non-technical audiences, • Escalate risks and propose mitigation strategies proactively, • Support documentation of architecture, pipelines, and operational processes Good to Have • Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics), • Awareness of LLMs / Agentic AI architectures from a data platform perspective, • Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift, • Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.), • Experience working in CPG, Retail, Supply Chain, or similar domains If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!