Senior Engineering Manager - Enzyme

<p data-pm-slice="1 1 ">P-1110</p> <p>At Databricks, we are passionate about enabling data teams to solve the world&39;s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world&39;s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. </p> <p>We are the Lakeflow Engineering team,  responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world&39;s biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.</p> <p>We&39;re seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL  workloads and for query acceleration.</p> <p><strong>The main responsibilities include:</strong></p> <ul> <li>You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.</li> <li> <p>You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.</p> </li> <li> <p>You will build processes to implement product vision and strategy, according to organizational goals and priorities.</p> </li> <li> <p>You will build software that is not just high quality but easy to operate. </p> </li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>Minimum 3 years of experience in managing top-tier engineering teams</li> <li>5+ years experience building data infrastructure systems