Data Architect

1 day ago


Dindigul, Tamil Nadu, India beBeeDataArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity:

We are seeking an experienced Data Architect to join our organization. As a Data Architect, you will be responsible for designing and implementing scalable data transformation pipelines using Snowflake and dbt.

Key Responsibilities:

  1. Develop data architectures that follow industry-accepted best practices.
  2. Design 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.
  4. Leverage orchestration tools 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 stakeholders 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.

Required Qualifications:

  • 3 to 5 years of experience in data architecture 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.
  • Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
  • Experience with Git, CI/CD, and deployment workflows in a team setting.

Core Competencies:

  • Data Architecture and ELT Development.
  • Cloud Data Platform Expertise.
  • Technical Toolset.

Nice to Have:

  • Experience in client-facing roles or consulting engagements.
  • Exposure to AI/ML data pipelines, feature stores.
  • Exposure to ML flow for basic ML model tracking.

About Our Organization:

We provide innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, leading to better processes and outcomes. We combine strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively.



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