Sr. Manager, Data Engineering & Analytics

Business Systems Engineering is responsible for building the data extraction, data processing and reporting infrastructure that powers company-wide insights and operational intelligence. By designing and implementing scalable data pipelines, data warehouses and reporting platforms, the business data engineering team serves as the foundation for decision-making at Databricks Business.

Databricks is hiring an experienced leader to grow and scale the function globally, as the company continues its hyper-growth and leadership in the Data and AI space. This person will be a key member of the Business Systems Engineering leadership team to drive all our internal business data and key metrics initiatives. As a Sr. Manager, you will build a roadmap and direction for data pipelines around product telemetry, business systems data, and aggregated tables work with sales, customer success, finance and engineering business stakeholders. This data architecture will become the foundation to enable you to expand your responsibilities into analytics and predictions. You will report to the Director, Business Systems.

The impact you will have:

• Lead and drive projects from idea formulation, to design, and to implementation
• Drive great partnership with the business operations teams
• Set team strategy and be accountable for team plans and deliverables.
• Grow and build a strong, healthy, and diverse team through hiring as well mentoring and coaching.
• Collaborate with other engineering teams and cross functional teams
• Provide strong technical leadership to the team and partner teams
• Enable the business operation (sales, CS, finance etc) and data science to build comprehensive analytics quickly and effectively.
• Identify the gaps in our data infrastructure and design and build the solutions

What we look for:

• 8+ years of experience in distributed systems, some of which are in data warehouse, data infrastructure, BI and Integration
• 5+ years of experience in managing and leading teams to build systems and framework to process large data and real-time events if required
• Good understanding of business data domains like sales, marketing, finance etc
• Experience with API based backend infrastructure for secure data access
• Exposure to integration with various systems like Salesforce, Netsuite and Workday
• Extensive and strong development experience in cloud environments, such as Azure, AWS and/or GCP
• Build and manage our data infrastructure to create the right data with minimal lift using Databricks. Comfortable programming in Spark, SQL, Python or Scala
• Strong collaboration and communication skills.
• Strong hands-on skills. Can drill deep into the complex system design and implementation when needed.

Benefits

• Private medical insurance
• Accident coverage
• Employee's Provident Fund
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.