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See allRole Overview:
- Take ownership of data governance, quality, and platform reliability across a multi-brand business.
- Define and drive the data platform roadmap, ensuring source data, pipelines, metrics, dashboards, and AI tools are accurate and secure.
- Lead the migration to Lightdash and strengthen the semantic layer for reliable self-service analytics.
Key Responsibilities:
- Own the data platform and governance roadmap, balancing stakeholder needs with scalability and reliability.
- Establish automated data quality and freshness monitoring, and manage data incidents through resolution.
- Govern event tracking, data lineage, and access controls to ensure security and consistency.
Requirements:
- Proven experience in analytics engineering, data engineering, or data platform management.
- Strong technical expertise in Amazon Redshift, dbt, Airflow, and SQL.
- Experience with BI governance, event tracking platforms, and AI-powered tooling.
Benefits:
- Annual base salary of $75,000–$120,000 USD.
- Fully remote working arrangement with flexible PTO.
- Opportunity to build and lead a growing analytics engineering team.
Confidential
The company is a multi-brand organization focused on building reliable data platforms for analytics and AI. It fosters a remote-first, asynchronous culture that values automation, governance, and ownership.