Chief Data Architect

4 days ago

Bharatpur, Rajasthan, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Job Title: Business Intelligence Specialist

Job Description:

We seek an experienced professional to design and implement a scalable data platform. This role will involve building and maintaining a PostgreSQL-based data warehouse and managing a data lake on AWS infrastructure. The ideal candidate has a strong foundation in SQL engineering, cloud data architectures, and modern data pipelines.

The successful candidate will be responsible for designing, building, and maintaining a data warehouse that supports scalable analytics and reporting. They will also develop and manage data pipelines (batch and streaming) for ingestion, transformation, and storage. Additionally, they will architect and maintain a data lake on AWS infrastructure, ensuring solutions align with modern open-source data engineering best practices.

The selected individual will work closely with cross-functional teams to deliver high-quality, reliable data solutions. They will translate business and analytics requirements into scalable data models and pipelines. Moreover, they will provide technical expertise to support data-driven decision-making across the organization.

  • Key Responsibilities:
    • Design, build, and maintain a scalable PostgreSQL-based data warehouse.
    • Develop and manage data pipelines for ingestion, transformation, and storage.
    • Architect and maintain a data lake on AWS infrastructure.
    • Optimize queries, indexing, and schema design for performance and scalability in PostgreSQL.
  • 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 (e.g., Airflow, dbt).
    • Proficiency with AWS services (S3, Glue, Athena, Redshift Spectrum, Lambda, etc.).
    • Experience managing structured and unstructured data at scale.
    • Solid programming skills in Python (or similar).
  • Preferred Qualifications:
    • Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
    • Experience with infrastructure-as-code tools (Terraform, CloudFormation).
    • Knowledge of data governance and cataloging tools.
    • Cloud certifications (e.g., AWS Data Analytics Specialty).

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.

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