Lead Analytics Engineer

New

Remote - United StatesFull-TimeLead

Salary134,865 - 231,198 USD per year

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Job Details

Experience: 7+ years of experience building analytics infrastructure, data platforms, or data engineering at scale.
Required Skills: SQLApache AirflowSnowflakedbt

Bring 7+ years of experience building analytics infrastructure, data platforms, or data engineering at scale.
Have expert-level data modeling experience, including dimensional modeling, star schema, and fact and dimension tables.
Have expert-level SQL skills.
Have experience with a cloud warehouse such as Snowflake.
Have expert-level experience with dbt.
Have expert-level experience with data pipeline orchestration tools such as Airflow or equivalent.
Have expert-level experience with semantic layers and BI tools such as Cube, Semantic Views, Preset, or Looker, or equivalent.
Demonstrate a track record of building reusable datasets and standards adopted by multiple teams.
Have experience enabling AI tools for non-technical stakeholders.
Be able to explain complex data architecture to non-technical stakeholders and influence without direct authority.
Apply systems thinking and optimize for organizational impact across teams.

Design shared data models and a semantic layer so analytical teams can use shared datasets.
Define authoritative sources of truth for core business metrics and govern changes to metric definitions.
Set and enforce standards for dataset structure, naming, documentation, testing, and reporting tiers.
Architect a self-serve layer that enables stakeholders to answer questions in BI tools.
Partner with Data Engineering on the shared roadmap, data contracts, and warehouse performance and cost.
Own data and BI issues from root cause through resolution, escalating when needed.
Coach Data Science and Analytics practitioners on dimensional modeling, semantic layer use, and self-serve analytics.

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