Staff Software Engineer, Data Collection (Tags & SDKs)
Databricks· Engineering
New York City, NY$190.9k - $253.8kFull-timePosted 1mo ago
About the role
Lead the data collection surface for Databricks' customer data collection stack across browser tags, mobile SDKs, and server-side endpoints; define schema/versioning, lead privacy-conscious data handling, and collaborate with product/design/engineering to drive scalable, low-latency collection solutions that improve user and business growth.
Responsibilities
- 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
Qualifications
- 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)
Skills
Required:Engineering leadershipSDK / client library ownershipJavaScript / browser engineeringServer-side collection & reliability
Benefits
- Benefits information available via regional link in job description.
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
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