Transformational Data Architect

8 hours ago

Bharatpur, Rajasthan, India beBeeData Full time ₹ 35,00,000 - ₹ 40,00,000

Senior Data Engineer Role: We are seeking a highly skilled and experienced professional to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt.

This role involves defining architectural best practices, driving data transformation at scale, and working closely with clients to translate business needs into robust data solutions.

The ideal candidate will have 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.

Key Responsibilities:
  1. Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
  2. Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
  3. Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
  4. Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
  5. Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
  6. Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
  7. Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
  8. Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
  9. Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
  10. Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting setup.
Requirements:
  • Bachelor's or master's degree in computer science, data engineering, or a related field.
  • Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.
Experience:
  • 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.

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