Senior Data Platform Architect

4 hours ago


Tiruchi, Tamil Nadu, India beBeeData Full time ₹ 90,00,000 - ₹ 2,10,00,000
Key Engineering Role: Data Platform Architect

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
Requirements:
  • 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
Desirable Skills:
  • 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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