Senior Analytics Engineer: Data Platform & Governance

Sway; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 200,000; Full time

Job summary

Harness is seeking an experienced Analytics Engineer to own end-to-end warehouse transformations and curate data models for product usage, adoption, and GTM reporting. You will enforce governance, ensure data freshness, and work with pipelines, BI dashboards, and downstream teams to enable self-serve data access.

You will collaborate with stakeholders to turn ambiguous questions into well-scoped data models, debug across the stack, and reduce bottlenecks while advancing safety and trust in data

Qualifications

• 6+ years in analytics engineering, data engineering, or similar, with real ownership of production data models.
• Strong SQL and a track record shipping analytical models others depend on.
• Hands-on with a modern cloud warehouse (BigQuery, Snowflake, Redshift, or similar).
• Experience with a transformation framework (dbt, SQLMesh, or equivalent).
• Scripting (Python or similar) for ingestion, validation, or automation.
• Experience with a BI tool (Tableau, Looker, Metabase, or similar).
• Demonstrated judgment on data access and sensitive data handling.

Responsibilities

• Own warehouse transformations end to end — from raw ingestion through documented, stable tables that downstream teams and tools depend on.
• Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.
• Set and enforce data practices: governance, access patterns, model ownership, freshness standards.
• Debug data issues across the full stack — source systems, pipelines, warehouse models, BI dashboards — and drive root-cause fixes, not just patches.
• Improve documentation and lineage so teams can self-serve without tribal knowledge.
• Partner directly with stakeholders across the business to turn ambiguous questions into well-scoped data models.
• Unblock teams on access, metric definitions, and data discoverability as part of a broader effort to reduce reliance on you as a bottleneck

Skills

Analytics engineering

Data engineering

SQL

Cloud data warehouse

dbt

Python

BI tools

Data governance

Tools

dbt

SQLMesh

BigQuery

Snowflake

Redshift

Tableau

Looker

Metabase

Job description

Harness is seeking an experienced Analytics Engineer to own end-to-end warehouse transformations and curate data models for product usage, adoption, and GTM reporting. You will enforce governance, ensure data freshness, and work with pipelines, BI dashboards, and downstream teams to enable self-serve data access.

You will collaborate with stakeholders to turn ambiguous questions into well-scoped data models, debug across the stack, and reduce bottlenecks while advancing safety and trust in data