About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
- Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.
- Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
- Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.
- Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
- Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.
Requirements
- 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies
- 5+ years of management experience hiring and developing teams
- Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
- Knowledge of statistics and rigorous analytical techniques
- Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
- Leadership skills and experience to lead across functional and organizational lines
- Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team
- Bias to action and passion for delivering high-quality data solutions
- A passion for problem-solving and comfort with ambiguity
- MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
Conditions
- Pay Range Transparency: Zone 1 Pay Range $228,600 — $314,250 USD
- Total compensation package may include eligibility for annual performance bonus, equity, and benefits.
- Benefits: comprehensive benefits and perks that meet the needs of all employees.