Chief Data Architect

1 day ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Job Description:

We are seeking a highly skilled Data Architect to design and implement a scalable data platform leveraging modern technologies.

The ideal candidate has a strong foundation in SQL engineering, cloud data architectures, and modern data pipelines. Experience with hosted data warehouse platforms is a plus.

Key Responsibilities:

  • Design and build a scalable data platform for analytics and reporting.
  • Develop and manage data pipelines (batch and streaming) for ingestion, transformation, and storage.
  • Architect and maintain a data lake on cloud infrastructure.
  • Optimize queries, indexing, and schema design for performance and scalability.
  • Ensure solutions align with modern data engineering best practices.

Collaboration & Delivery:

  • Work closely with product, analytics, and engineering teams to deliver high-quality data solutions.
  • Translate business and analytics requirements into scalable data models and pipelines.
  • Provide technical expertise to support data-driven decision-making.

Data Quality & Governance:

  • Implement data quality checks, lineage tracking, and metadata management.
  • Ensure compliance with data security and governance standards.

Future-Readiness:

  • Stay current with modern data engineering tools and frameworks.
  • Provide guidance on evaluating and integrating new technologies as needed.
Requirements:
  • 3+ years of hands-on experience in data engineering or data platform development.
  • Expertise in PostgreSQL: advanced SQL, query optimization, schema design, and data modeling.
  • Strong experience building ETL/ELT pipelines using Python or open-source frameworks.
  • Proficiency with cloud services (S3, Glue, Athena, Redshift Spectrum, Lambda, etc.).
  • Experience managing structured and unstructured data at scale.
  • Solid programming skills in Python (or similar).
  • Familiarity with open-source data frameworks.
What We Offer:
  • Opportunity to design and own enterprise-level data platforms with modern tech.
  • A collaborative environment with mentorship from senior data and engineering leaders.
  • Flexibility to innovate and work with open-source-first approaches.
  • Remote-first culture with growth opportunities in data architecture and leadership.

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