
Principal Data Infrastructure Specialist
1 week ago
We are seeking a skilled Lead Data Architect to design and implement a robust data foundation for our enterprise SaaS and AI-driven products.
This role involves leading the development of clean, scalable models, driving data platform strategy, and enabling a high-velocity product development culture.
- Develop and maintain dbt pipelines and PostgreSQL modeling
- Own schema design, documentation, and data contracts across the analytics and application layer
- Define and enforce data platform best practices, versioning, and governance for all data models
- Implement data testing, observability, and quality automation to ensure confidence at scale
- Guide tool selection and platform evolution across the modern data stack
Must-Have Skills & Experience:
- 10+ years of experience in backend or data engineering roles
- Deep experience designing and maintaining normalized and dimensional data models
- Advanced expertise in dbt (macros, packages, tests, modularization, docs)
- Expert in SQL, with a focus on PostgreSQL
- Strong Python scripting for transformation logic and automation
Additional Requirements:
- Proven experience with tools in the modern data stack, including:
- dbt (Cloud or Core)
- PostgreSQL (primary engine)
- Airflow, Dagster, or Prefect for orchestration
- Great Expectations or dbt tests for data quality
- Fivetran, Airbyte, or custom loaders for ingestion
- GitHub Actions, GitLab CI, or CircleCI for CI/CD
Leadership & Collaboration:
- 6+ years in engineering leadership, architecture, or tech lead roles
- Excellent collaboration skills across engineering, product, and analytics
- Strong communicator—can author technical documentation and explain system tradeoffs
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