Director of Data Engineering, Valo Health

• Valo is seeking an experienced Director of Data Engineering to lead our efforts for our data engineering platform
• 10+ years of experience in software / data engineering and leadership
• 2+ years of management experience managing cross-functional projects
• Experience in creating an effective and inclusive team culture
• Experience building data science platforms: data and feature engineering pipelines, model life-cycle support, data governance
• 3+ yrs experience in a professional role gathering requirements and understanding customers/data users goals, including demonstrated experience scoping projects, determining timelines and milestones, delivering end-to-end projects
• Demonstrated ability to effectively communicate with and influence business and technical teams
• Experience with data science and workflow orchestration platforms such as Domino, Kubeflow, Prefect, Ray, Spark, and implementing CI/CD practices
• Experience with cloud data storage and management solutions, such as Snowflake, Redshift, or BigQuery
• B.S. or M.S. in Computer Science or a similar technical field, or equivalent experience

Desirable

• You will manage and grow a team of data engineers to maintain and extend our data platform, providing critical support to multi-functional teams across Valo. Your work will support both our external partnership and internal drug programs
• In addition, you will be working closely with our Machine Learning, Data Science, Medicinal Chemistry, and Translational Biology teams to accelerate the process of discovering new drug candidates
• Manage, mentor, and grow a team of 2-4 data engineers located both in our Boston offices and remotely
• As a key leader in our organization, drive the evolution of Valo’s data platform, ensuring it is robust, scalable and meets the high-performance demands of our data scientists, all while upholding data governance standards
• Drive cross-functional collaboration across our data science, machine learning, lab informatics, translational biology and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission
• Foster processes and technology to boost operational scalability, enabling our teams to rapidly expand capacity without expanding headcount
• Simplify how data scientists access, transform, and use their data by promoting consistent data usage patterns, including version management, shared ontologies & data dictionaries
• Simplify how data engineers build, maintain, and extend their data pipelines, advising colleagues on data transformations and database design, and providing critical feedback and encouraging best practices within the data engineering team