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60 Databricks Product Development Jobs Hiring Near You

Databricks

Staff Partner Engineer, Azure

New York, NY · Remote

... development of medical breakthroughs. We do this by building and running the world's best data and ... Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150K - $206K/yr

... product integrations between major platforms. * Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is ...

Databricks

Staff Enterprise Security Engineer

Corporate production development within the Databricks platform remains owned by the Data team; EntSec defines how we engage, reviewing implementation designs, configurations, and data flows as ...

Databricks Inc.

Staff Partner Engineer, Azure

Seattle, WA · On-site

$150 - $200/hr

Drive engineering integration work between Databricks and Azure product teams coordinating ... Familiarity with modern development workflows and AI‑assisted development tools (Cursor, Claude ...

Databricks

$54 - $56/hr

P-982 At Databricks, we are passionate about helping data teams solve the world's toughest problems ... You've used AI tooling for both personal productivity and development projects * You have some ...

Databricks

$112K - $154K/yr

... development. We work cross-functionally to shape long-term strategic priorities and initiatives ... Work with Engineering and Databricks Customer Support to provide product and implementation ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

What are the most popular job types at Databricks?

    What are the most popular jobs at Databricks?

    What are the most popular categories at Databricks?

    Infographic showing various Product Development job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

    Sr. Product Manager, Data Engineering

    Databricks

    San Francisco, CA • On-site

    $149K - $196K/yr

    Full-time

    Re-posted 15 days ago

    Job description

    P-8

    At Databricks, we are passionate about enabling data teams to solve the world'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's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

    Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.

    The impact you will have

    • Lead product management for one of the fastest growing products and businesses at Databricks
    • Make company wide impact by driving Data Engineering across the Databricks product portfolio
    • Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
    • Define, shape, and drive the future of data processing, data applications, and data pipelines
    • Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

    What We Look For

    • 5+ years of product management and related experience with enterprise or SaaS products.
    • Educational or professional background in computer science or related engineering fields.
    • Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
    • Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
    • Analytical skills to make data-driven decisions (e.g. analyze product usage)
    • Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
    • A background in Data Engineering is a plus but not required.

    Apply