Senior Data Engineer

Job description

About the Role

We are looking for a Senior Data Engineer to join our Data & Analytics Engineering team. In this role, you will develop and maintain scalable data pipelines that support product usage reporting and enterprise analytics across our products. You will operate where data architecture, data quality, and multi-functional ownership meet to ensure data is trusted, validated, and reliably delivered from product instrumentation to executive dashboards.

Key Responsibilities

Data Architecture & Pipeline Engineering

• Build and implement end-to-end data pipelines spanning product instrumentation, ingestion, transformation, semantic modeling, and reporting layers (e.g., Power BI).

• Develop and maintain documentation for source-of-truth datasets, including ownership of metric definitions, data joins, schema transformations, and lineage tracking.

• Lead data modeling efforts, including entity relationship build, dimensional modeling, and consumption-layer optimization.

Data Governance & Ownership

• Establish and maintain clear ownership models across the data lifecycle — from ingestion to semantic model to reporting.

• Define RACI frameworks for data accountability, clarifying which roles are responsible, accountable, consulted, and informed at each stage.

• Ensure downstream teams are proactively notified and protected when upstream schema or logic changes occur.

Data Quality & Validation

• Build and enforce data validation strategies at the pipeline level and at semantic/reporting consumption layers.

• Define and implement quality gates that must pass before dashboards or metrics are considered production-ready.

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