Role overview

Senior Data Engineer- Platform Experience

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Key Responsibilities

  • Lead end-to-end delivery of data platform initiatives with full ownership of quality and documentation
  • Partner directly with stakeholders to define requirements and proactively communicate scope or technical impacts
  • Operate autonomously, escalating blockers with recommended solutions
  • Drive technical decisions and mentor peers on platform design and engineering best practices
  • Represent the engineering team confidently in cross-functional and stakeholder discussions

Requirements

  • 7+ years of Data Engineering experience
  • 3+ years of hands-on experience with:
  • Enterprise Data Warehouse platforms and/or Data Mesh architectures
  • Strong experience with:
  • Snowflake
  • Snowflake UniStore
  • dbt Core and/or dbt Cloud
  • Dagster or Airflow
  • Python
  • Advanced SQL
  • AWS and/or Azure
  • GitHub Actions

Details

  • Enterprise Data Warehouse platforms and/or Data Mesh architectures
  • Snowflake
  • Snowflake UniStore
  • dbt Core and/or dbt Cloud
  • Dagster or Airflow
  • Python
  • Advanced SQL
  • AWS and/or Azure
  • GitHub Actions
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Browse stack
FocusSenior Data EngineerRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, PythonPrimary skills
Location25 accepted countriesEligibility

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