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Job Description Required Education: • At a minimum, a bachelor’s degree in computer science, Information Technology, or a related field Desired Certification: • Snowflake certification (e.g., SnowPro Core or Advanced Certification) Required Skills: • 5+ years of experience in data architecture, data engineering, or database development, • 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security, • Experience or exposure to AI tools, • Deep understanding of data warehousing concepts, dimensional modeling, and analytics, • Excellent problem-solving and communication skills, • Strong proficiency in Snowflake architecture, features, and capabilities, • Knowledge of SQL and Snowflake-specific query optimization, • Experience with ETL tools and data integration processes, • Strong proficiency in SQL and Python, • Strong Database design and data modelling experience. Experience with data modeling tools, • Ability to identify and drive continuous improvements, • Strong problem solving and analytical skills, • Demonstrated process-oriented and strategic thinking skills, • Strong motivation and a desire to continuously learn and grow, • Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc, • Experience working in AWS cloud environments, • Experience working with Power BI and other BI, data visualization, and reporting tools, • Business requirement gathering and aligning to solutions delivery, • Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies Desired Skills: • Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus, • Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred), • Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus, • Experience with data visualization tools (e.g., Power BI), • Experience integrating Snowflake with BI and reporting tools is a plus, • Knowledge of technical areas such as T-SQL, DevOps, and scripting Client is seeking a highly skilled, experienced and motivated Snowflake Architect/Developer to join our team. The ideal candidate will have deep experience with Snowflake, data modeling, ETL/ELT processes, and cloud data architecture. You will work closely with the Snowflake architecture team to deliver scalable, high-performance solutions that meet business analytics and reporting requirements. This role requires a deep understanding of Snowflake’s features and best practices, as well as strong problem-solving skills and the ability to work collaboratively with cross-functional teams Job Responsibilities: • Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management, • User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies, • Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction, • Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization, • Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage, • Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment, • Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance Interview Process: Initial contact by video or in person. Final interview in person, face-to-face

Job DescriptionTitle: Cloud Engineer - Full Stack DeveloperLocation: Rochester, NY; hybrid candidates considered with 2x quarterly onsite presence Reports to: VP of Operations As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for:-Assisting in the designing and building modern and highly scalable cloud-based applications for customers-Migrating and modernizing customer legacy applications using AWS services-Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs-Actively participating in team meetings and cross-functional interactions-Keeping team members and supervisors informed of progress and issues-Actively contributing to client project status meetings-Contributing to R&D projects to validate/invalidate new services offerings-Remaining current with technology trends and new technologies-Proposing the latest technology usage and integration standards-Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP-Participating in code reviews, document infrastructure-as-code, and assist with UI/UX-Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React-Utilizing best practices for security, compliance, and business continuity in cloud solutions How you will be successful:-Bridging the gap between technical complexity and business objectives through adept problem-solving abilities-Building trusting relationships with team members and collaborating departments-Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)-Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes-Championing ongoing elevation of personal skills paired with knowledge transfer to teammates-Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role:-5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services-Strong experience with infrastructure-as-code tools like CloudFormation-Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework-Experience using AWS platforms including but not limited to Cognito and Amplify-Understanding of modern app architectures in cloud environments-Able to collaborate with cloud engineer and project management teams-AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates-In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.-Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.-Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.-Experience using AWS command line tools and SDKs to manage infrastructure as code-Building, deploying, managing microservices applications on AWS-Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS-Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: -Experience with CI/CD pipelines and automated testing-Building event-driven architectures on cloud platform-Using infrastructure as code tools like CloudFormation -Frontend JavaScript frameworks like React-Machine learning capabilities like SageMaker-Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.