
Senior Data Platform Architect
4 hours ago
Our organization seeks a highly skilled Data Platform Architect to lead the design and development of our enterprise data foundation. As a key member of our engineering team, you will be responsible for architecting clean, scalable models, driving data platform strategy, and enabling high-velocity product development.
You will own everything from dbt pipelines and PostgreSQL modeling to data quality, data testing, and deployment. This role requires collaboration with cross-functional teams to make data a strategic advantage.
Responsibilities:- Architect, develop, and maintain a robust semantic layer and modular dbt pipelines
- 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
- Collaborate with engineering, product, and analytics teams to ship reliable data-backed features
- 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
- 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
- Terraform or IaC for platform provisioning (Snowflake, dbt Cloud, PostgreSQL configs)
- Optional: Monte Carlo, Atlan, DataHub, or other metadata/lineage platforms
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Senior Cloud Data Architect
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High-Performing Data Architect
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