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Staff Software Engineer, Data Collection (Tags & SDKs)

DatabricksNew York City🇺🇸United States

Why this role stands out

As a Staff Software Engineer at Databricks, you will lead the end-to-end data collection stack, driving innovation in a critical area of their AI and data infrastructure platform. This role is ideal for experienced engineers with a passion for ownership and a desire to shape foundational technologies that empower data teams globally. You'll have the opportunity to make a significant impact on cutting-edge projects within a renowned company.

Quick overview

Salary$190.9k/yr
SeniorityMid Senior
Work modeHybrid
LocationNew York City, United States
Microsoft ExcelDatabricksUnityiOSAndroidJavaScript

Job description

P-1607
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. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

First-party data collection is the entry point for everything downstream. It also runs on other people's websites and inside other people's apps, which raises the bar from a quality, reliability, and development experience. We are looking for an engineer to lead that surface, client and server side.

The impact you'll have:

  • Lead the collection stack end to end: browser tag, mobile SDKs, server-side endpoints, and the ingest path behind them
  • Define the schema and versioning contract, including compatibility across SDK versions already in the field
  • Lead identity handling that spans anonymous and authenticated records, across devices and sessions
  • Lead integrations with other CustomerLake products like Profile & Campaign Agents
  • Hold hard budgets on page weight, latency, and failure behavior, so that collection never degrades the host application
  • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth

What we look for:

  • 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects
  • Ownership of an SDK or client library consumed by external developers, including native iOS and Android
  • Deep browser-side JavaScript experience: bundle size, async loading, CSP, storage and cookie restrictions, tracking prevention
  • High-throughput server-side collection: edge endpoints, batching, retries, and delivery guarantees
  • Practical grounding in consent and privacy requirements, including regional routing and data minimization
  • High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption
  • Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives
  • Combination of technical and people leadership, for example, as a TLM (Nice to have)
  • Experience building a CDP, analytics SDK, or tag management product (Nice to have)
  • Experience with incident response for code deployed on customer properties (Nice to have)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range
$190,900—$253,750 USD

About Databricks

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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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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