Head of Data Engineering, Databook

• 12+ years of relevant experience in Analytics, BI and Data Warehousing
• BS/MS in Computer Science, Math, Physics or other technical discipline
• Proven experience building, scaling and leading high-performing teams, with the ability to motivate, mentor, and inspire and in managing managers
• Ability to develop a clear data strategy, aligning data initiatives with business objectives
• Experience scaling and managing a growing team, and in managing managers
• Experience leading in a highly cross-functional environment, collaborating closely with Engineering, Product Management and Data Science
• Communication and leadership experience initiating and driving company-wide strategic initiatives
• Proven hands-on experience in architecting and building scalable data systems, including ETL processes, distributed systems for data processing, data migration and quality/observability
• Experience in SQL with advanced query optimization techniques and Python
• Solid understanding of how experimentation (A/B testing) works
• Experience in AI and ML lifecycle is a plus
• A passion for staying updated on the latest advancements in data including ML and AI and a strong drive to innovate and deliver high-quality solutions

Desirable

• As the Head of Data Engineering, you will play a pivotal role by driving the vision and execution of our data capabilities
• You have a successful track record demonstrating the business value of data engineering projects by tying them to new customer-facing products
• You will work closely with Data Scientists, Product Managers, ML Engineers and Software Engineers by building the data architecture that informs decisions and drives our customer-facing capabilities
• The ideal candidate has strong data infrastructure and data architecture skills, a proven track record attracting and developing a diverse team of data engineers, strong operational skills to drive efficiency and speed, solid project management skills and a vision for how data engineering can drive product
• As the most-senior engineering lead in our India office, you will have experience collaborating with leadership across both technical and business topics and a track record enhancing culture in your working environment
• Drive technical and process innovation to increase the maturity and capability of Infrastructure data engineering team and practices
• Establish the processes needed to achieve operational excellence in data fidelity, data privacy, system reliability, and enabling rapid experimentation and data-informed decisions
• Drive the design, building, and launching of new data models and data pipelines in production
• Define and manage SLAs for all data sets and processes running in production
• Drive data quality across the product vertical and related business areas
• Strong familiarity with cloud platforms like AWS and working knowledge of the Databricks product suite
• Drive the design, building, and launching of new data models and data pipelines in production
• Attract, mentor and develop a high performing data engineering team