Enterprise Data Architect

2 weeks ago

Pushkar, Rajasthan, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,10,000
Job Title: Enterprise Data Architect

We are seeking a highly skilled professional to design and implement a scalable data architecture that enables business-driven decision-making.

The ideal candidate has expertise in PostgreSQL, SQL engineering, cloud data architectures, and modern data pipelines. Experience with hosted data warehouse platforms such as DBT, Snowflake, or Databricks is an advantage.

Key Responsibilities:
  • Data Architecture & Design:
  • Develop a robust data warehousing strategy for analytics and reporting using PostgreSQL.
  • Create and maintain data pipelines (batch and streaming) for ingestion, transformation, and storage.
  • Design and manage a data lake on AWS infrastructure (e.g., S3, Glue, Athena, Redshift Spectrum).
  • Optimize database queries, indexing, and schema design for performance and scalability in PostgreSQL.
  • Ensure solutions adhere to 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.
  • Offer guidance on evaluating and integrating DBT, Snowflake, or Databricks as needed.
Required 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 AWS services.
  • Experience managing structured and unstructured data at scale.
  • Solid programming skills in Python.
  • Familiarity with open-source data frameworks.
Preferred Qualifications:
  • Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
  • Experience with infrastructure-as-code tools.
  • Knowledge of data governance and cataloging tools.
  • Cloud certifications.
  • Experience in regulated industries.
What We Offer:
  • Opportunity to develop and own enterprise-level data platforms with modern technology.
  • A collaborative environment with mentorship from senior data and engineering leaders.
  • Flexibility to innovate and work with open-source-first approaches.
  • A remote-first culture with growth opportunities in data architecture and leadership.

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