Senior Data Architect Position Available

1 week ago

Ajmer, Rajasthan, India beBeeDataEngineering Full time ₹ 1,20,00,000 - ₹ 2,50,00,000

About the Role:

We are looking for a seasoned Data Architect to design and implement scalable data solutions. In this position, you will lead the development of efficient data pipelines and manage large datasets on cloud infrastructure.

The ideal candidate has a strong foundation in SQL engineering, cloud computing, and modern data processing. Experience with hosted data warehouse platforms such as Snowflake or Databricks is a plus.

Key Responsibilities:

  • Data Architecture & Engineering:
    • Design, build, and maintain a PostgreSQL-based data warehouse 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 (e.g., S3, Glue, Athena, Redshift Spectrum).
    • Optimize queries, indexing, and schema design for performance and scalability in PostgreSQL.
    • Ensure solutions align with modern open-source data engineering best practices.
  • Collaboration & Delivery:
    • Work closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions.
    • Translate business and analytics requirements into scalable data models and pipelines.
    • Provide technical expertise to support data-driven decision-making across the organization.
  • 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 DBT, Snowflake, or Databricks as needed.

Required Skills and Qualifications:

  • 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 (AWS, GCP, Azure).
  • Experience managing structured and unstructured data at scale.
  • Solid programming skills in Python (or similar).
  • Familiarity with open-source data frameworks (e.g., Apache Spark, Kafka).

Benefits:

  • 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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