Databricks

Staff Software Engineer, Data Collection (Tags & SDKs)

Databricks$190K — $253K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of engineering experience leading complex enterprise projects
  • Ownership of an SDK or client library for external developers, especially for iOS and Android
  • Deep experience with browser-side JavaScript, including performance optimization and tracking prevention
  • Expertise in high-throughput server-side collection processes
  • Familiarity with consent and privacy regulations in data handling
  • Strong ability to collaborate with cross-functional teams to ensure alignment of technical strategy
  • Technical and people leadership experience, particularly as a tech lead or manager.
  • Experience in building customer data platforms, analytics SDKs, or tag management products (optional)
  • Background in incident response for customer-deployed code (optional)

Responsibilities

  • Lead the end-to-end collection stack, including browser tags and mobile SDKs.
  • Define schema and versioning contracts for SDKs.
  • Manage identity handling for both anonymous and authenticated data across sessions.
  • Integrate with other internal products like Profile and Campaign Agents.
  • Ensure collection processes optimize page weight and reduce latency.
  • Collaborate closely with product management, design, and engineering teams to develop scalable solutions.

Benefits

  • Comprehensive health benefits to meet employee needs
  • Flexible working hours and remote work options
  • Professional development opportunities
  • Annual performance bonuses and equity options
  • Additional perks tailored to regional needs
Full Job Description
P-1607

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 01 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

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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