Tech Lead - Data Systems

On-site

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Responsibilities

Own squad-level delivery, technical direction, and outcomes (quality, stability, deadlines) across multiple workstreams
Set and align technical approach for the squad; make or drive key decisions, resolve cross-engineer disagreements, and ensure designs fit architecture and guidelines
Drive coordination to meet quarterly objectives - work breakdown, sequencing, dependency management, and alignment with stakeholders across a distributed team
Serve as the final accountable approver for PRs, release readiness, point releases, and build/stage stability; ensure operational discipline is followed
Own timely incident response patterns, drive follow-up, ensure preventative actions happen (not just fixes), and improve processes to reduce recurrence
Set engineering standards for the squad (documentation expectations, review rigor, testing discipline, quality bars) and ensure consistency
Develop code both independently and while pair programming

This is a software engineering leadership role, not a data analysis/statistical role or an ETL/SQL-focused role. Essential Responsibilities
Completed B.S. in Computer Science, Engineering, or related field, or equivalent professional experience
experience leading or tech-leading a team
Comfort and proficiency in a typed language such as Java, Scala, or Kotlin
Proven ability to set and evolve technical direction for a squad or workstream
Knowledge of software design patterns and the ability to select and implement the right pattern for a given problem •
Experience with Test-Driven Development (TDD) and building meaningful test suites
Familiarity with Continuous Integration / Delivery methods, tooling, and integrations
Ability to drive planning, sequencing, and cross-team alignment across a distributed team
Ability to communicate clearly and show engagement in both remote and in-person meetings; comfortable presenting technical direction to stakeholders Work Requirements
Exposure to any Google Cloud technology •
Experience with large-scale data processing systems •
Experience with monitoring, alerting, and production support