Role Overview
Build the core data foundation, manage the data warehouse, and make the warehouse AI-readable. Own data modeling standards, lead data governance practices, and build with security and privacy in mind.
What You Will Do
Design and maintain high-quality data models, marts, and pipelines. Manage warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene. Make the warehouse AI-readable and own data modeling standards.
Why It Might Be a Fit
You’ll have room to define standards, choose tools, and ship systems that become company-wide defaults. You’ll own the foundation, build for humans and AI, and have high leverage in data science and stakeholder productivity.
Requirements
- 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role.
- Deep SQL expertise.
- Strong data modeling experience.
- Pipeline ownership.
- Warehouse management experience.
- Governance mindset.
- AI-native working style.
- Stakeholder fluency.
- Autonomy and execution.
- Operational judgment.
Benefits
- Snowflake administration, optimization, cost management, or warehouse performance tuning.
- Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews.
- Experience with Databricks or other modern data infrastructure.
- Experience building semantic layers, metrics layers, metadata systems, or data catalogs.
- Python experience for data tooling, automation, orchestration, or quality checks.
- Previous experience as an early analytics engineer or data engineer at a high-growth startup.
To apply for this job please visit jobs.ashbyhq.com.
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