Director, Data Engineering
hace 21 horas
Atlanta
Job DescriptionRevinate is one of the largest and most innovative providers of direct revenue-generating solutions in the hospitality industry. Revinate's mission is to deliver hoteliers scalable direct revenue and profits from data-driven solutions that cultivate deeper relationships with guests. Revinate’s Direct Booking Platform helps capture, convert and retain guests with strategies and services that maximize direct booking revenue. This combination maximizes the lifetime value of each guest through personalized and targeted campaigns across the guest journey. Revinate Marketing has won 1st place for Hotel CRM & Email Marketing in the HotelTechAwards five years in a row! About Us Revinate is an innovative hospitality tech company that is revolutionizing how customers manage their operations and enhance the guest experience. Our solutions leverage advanced technology, data analytics, and automation to improve efficiency and drive customer happiness in the hospitality industry. The Opportunity We are seeking an experienced and visionary Director, Data Engineering to lead our Data Platform initiatives. In this critical role, you will be responsible for defining the strategy, architecture, and execution of our end-to-end data ecosystem, encompassing data ingestion pipeline, operational data stores, our evolving data lakehouse, and robust data APIs. You will build and lead a high-performing team of data engineers, fostering a culture of innovation, collaboration, and operational excellence. This role requires not only deep technical expertise but also a strong understanding of how data can drive business value, including leveraging data science and machine learning to optimize our operations. Key Responsibilities Strategic Leadership: Define and execute the long-term vision and roadmap for our data platform, aligning with overall business objectives and technology strategy. Team Leadership & Development: Recruit, mentor, and lead a talented team of data engineers, fostering their growth and ensuring best practices in data engineering. Data Pipeline: Oversee the design, development, and maintenance of scalable and reliable real time data ingestion pipeline, ensuring data quality, accuracy, and timely delivery. Operational Data Stores: Lead the architecture and management of our operational data stores, optimizing for performance, reliability, and accessibility to support critical business applications. Data Lakehouse Development: Drive the strategic evolution and implementation of our data lakehouse, enabling unified data access, advanced analytics, and machine learning initiatives. Data API Development: Champion the design and development of secure, performant, and well-documented data APIs to facilitate data consumption across various applications and user groups. Data Governance & Quality: Enforce data governance policies, standards, and procedures to ensure data integrity, security, privacy, and compliance. Operational Efficiency through Data Science/ML: Collaborate closely with data science and analytics teams to identify opportunities where data science and machine learning can be applied to optimize internal operations, automate processes, and improve efficiency within the data platform itself (e.g., predictive maintenance for pipelines, intelligent resource allocation). Performance & Scalability: Ensure the data platform is highly performant, scalable, and resilient, capable of handling growing data volumes and complex analytical workloads. Technology Evaluation: Evaluate and recommend new data technologies, tools, and platforms to enhance our data capabilities and stay ahead of industry trends. Cross-Functional Collaboration: Partner effectively with engineering, product, analytics, data science, and business teams to understand data requirements and deliver impactful solutions. Monitoring & Support: Establish robust monitoring, alerting, and on-call support processes for all data systems, ensuring high availability and rapid issue resolution.What You’ll Bring • 10+ years of experience in data engineering roles, with at least 5 years in a leadership or management position overseeing data engineering teams., • Data Ingestion Pipelines: (e.g., Kafka, Flink, Spark Streaming, Airflow, equivalent cloud services like Kinesis, Pub/Sub, Dataflow), • Operational Data Stores: (e.g., Cassandra, ScyllaDB, DynamoDB, PostgreSQL, MySQL), • Data Warehousing/Lakehouse Technologies: (e.g., AWS, GCP, S3, Iceberg, Redshift, BigQuery), • Data APIs & Services: (e.g., RESTful APIs, GraphQL), • Strong proficiency in Java / ScalaExtensive experience with cloud data platforms (AWS, GCP) and their respective data services., • Solid understanding of data modeling techniques (relational, dimensional, NoSQL)., • Literacy in Data Science and Machine Learning concepts:Familiarity with common ML algorithms and their applications., • Understanding of the MLOps lifecycle and data requirements for ML models.Ability to identify and articulate how data science/ML can be used to improve data platform operations (e.g., anomaly detection in pipelines, resource optimization)., • Experience with implementing data governance, data quality, and metadata management tools and practices., • Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., • Strong analytical and problem-solving abilities, with a focus on delivering practical and scalable solutions., • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.Benefits, • Health insurance-employee premium paid 100% by Revinate, • Dental insurance-employee and dependents’ premium paid 100% by Revinate, • Vision insurance-employee and dependents’ premium paid 100% by Revinate, • 401(k) with employer match, • Short & Long Term Disability insurance, • Life insurance, • Paid Flex time off, • Monthly work from home stipend, • Telehealth access • Recruiter Screen - 30 min - Technical Interview - 60 min - Cross Functional Interview - 30 min - Final Interview - 30 min Revinate values the flexibility of a remote workforce and the benefits of localized hiring. We focus on specific cities to foster local communities and enhance team cohesion, allowing employees to collaborate, attend local events, and build a strong sense of community and company culture.Candidates must be located in the city listed in the job application. Thank you! Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary. Important Security AlertWe have been made aware of fraudulent activities involving individuals impersonating our HR team and offering fake job opportunities. Please be vigilant and ensure your safety by verifying all job offers. For Authentic Opportunities: Only refer to our official careers page on our company website. Your security is our priority. If you encounter any suspicious activity, please report it immediately. Stay safe and secure! You can confirm or inquire with any questions by reaching out to AI and Hiring Please note that interviews at Revinate will be recorded using brighthire.ai. As we continue to build more structure into our interview processes -- the best way to eliminate unconscious bias! We are encouraging our interviewers to focus more on our candidates and the conversation than taking notes. Instead, we can rely on brighthire.ai to do the note taking for us. If you’re uncomfortable with recording your interview, please let us now. We’ll opt you out. Excited?! Want to learn more? Apply Now!Our Core Values:One Revinate - United & Strong, on a single mission togetherBuilt on Trust - It’s the foundation of everything we doExpect Amazing - We think, dream & deliver bigCustomer Love -- When the customer wins, we winMake it Simpler -- Apply it to everything we doHungerness -- Feel it, follow it, be relentless about our successGrounded in Gratitude - We’re glad to be here & make the most of every day Revinate Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Revinate complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to . By submitting your application you acknowledge that you have read Revinate's Privacy Policy () 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.