Senior Manager, Infrastructure Data Science

Databricks

San Francisco (CA)

On-site

USD 228,600 - 314,250

Full time

14 days+
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Job summary

Databricks is seeking a Senior Manager, Infrastructure Data Science to lead and shape the future of infrastructure through data-driven insights. This role involves tackling complex challenges like capacity planning and performance optimization, mentoring a team of data scientists, and influencing stakeholders with data strategies.

With over 10 years of experience in infrastructure data science and strong leadership skills, you will work closely with engineering leaders. Competitive salary range of $228,600—$314,250 USD is offered.

Qualifications

  • 10+ years of infrastructure data science experience in high velocity, high-growth companies.
  • 5+ years of management experience hiring and developing teams.
  • Experience developing data science, analytics, and machine learning products.

Responsibilities

  • Provide thought leadership and strategic guidance on infrastructure planning.
  • Implement data-driven solutions to mitigate infrastructure risks.
  • Mentor and manage a team of data scientists.

Skills

Infrastructure data science
Machine learning
Advanced analytics
Leadership
Data visualization tools
Data engineering

Education

MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

Job description

Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.

The Impact You Will Have
  • 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 supporting stakeholders 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.
What We Look For
  • 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)
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits listed above. For more information regarding which range your location is in, visit our page here.
Zone 1 Pay Range
$228,600—$314,250 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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