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Staff Software Engineer, Data Collection (Tags & SDKs)

Databricks Mosaic · New York City, New York · San Francisco, California

CHECKED 14H AGO

InfrastructureonsiteStaff$191k–$254k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead end-to-end first-party data collection across tags, SDKs and ingest.
  • Own identity handling across devices, sessions and anonymous users.
  • Set budgets for page weight and latency so collection never degrades hosts.

What they offer

  • Annual performance bonus
  • Equity

Ideal candidate

A seasoned tech lead with 10+ years owning external-facing SDKs who thrives in 0→1 ambiguity, balances quality with pragmatism, and cares deeply about reliability on customer properties.

Requirements

  • 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, driving projects from idea through launch and adoption
  • Strong ability to collaborate across product, engineering, and design teams to align technical strategy with 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)

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗