Senior Data Architect

1 day ago

Kota, Rajasthan, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Opportunity: Senior Data Architect

We are seeking an experienced and skilled data architect to join our team. The ideal candidate will be proficient in designing and implementing scalable, high-performance data transformation pipelines using Snowflake and dbt.

About the Role:

  1. Design and implement scalable ELT pipelines using dbt on Snowflake, following industry-accepted best practices.
  2. Develop ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
  3. Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
  4. Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
  5. Apply dbt best practices: modular SQL development, testing, documentation, and version control.
  6. Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
  7. Apply CI/CD and Git-based workflows for version-controlled deployments.
  8. Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
  9. Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.
  10. Write well-documented, maintainable code using Git for version control and CI/CD processes.
  11. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  12. Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions.

Requirements:

  • 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
  • Experience building and deploying dbt models in a production environment.
  • Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modelling (Kimball/Dimensional preferred).
  • Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
  • Experience with Git, CI/CD, and deployment workflows in a team setting.
  • Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory.

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