Chief Data Architect

5 days ago

Bhavnagar, Gujarat, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Cloud Data Modeling Specialist

We are seeking an experienced data professional to work on designing, governing, and implementing conceptual, logical, and physical data models across modern cloud platforms.

The ideal candidate will have strong experience with SQL Data Warehouses, Databricks Delta Lakehouse, and other MPP databases, combined with domain knowledge across Customer, Sales, Finance, Supplier, and Manufacturing.

Responsibilities:

  • Design and deliver conceptual, logical, and physical data models for cloud and on-premises platforms (SQL Data Warehouse, Databricks Delta Lakehouse, Spark, etc.).
  • Document metadata, business definitions, and construct database objects for enterprise projects.
  • Build a deep understanding of enterprise business domains (Customer, Sales, Finance, Supplier, Technology Inventory) to create scalable and reusable data solutions.
  • Collaborate with technical teams to ensure alignment with data product development.
  • Develop expertise across multiple data paradigms: low-latency, relational, analytical, unstructured data lakes, and SAP data models.
  • Partner with data stewards to support data discovery, governance, and business stakeholder engagement.
  • Provide data analysis, requirements gathering, solution development, and design reviews for new applications.
  • Assist with data sourcing, profiling, planning, and transformation activities.
  • Support data lineage mapping and creation of Source-to-Target Mappings (STTM) for ETL developers.

Required Skills:

  • Strong proficiency with data modeling tools (ER/Studio, Erwin, IDM/ARDM).
  • Experience in domain-specific data modeling for CPG, Manufacturing, Sales, Finance, Supplier, Customer.
  • Hands-on expertise with at least one MPP database technology (Databricks Lakehouse, Redshift, Synapse, Teradata, Snowflake).
  • Experience with GitHub or version control systems, CI/CD pipelines, and deployment automation.
  • Familiarity with metadata management, data lineage, and glossaries.
  • Working knowledge of Agile, DevOps, and DataOps methodologies.
  • Understanding of SAP data models (HANA, S/4HANA, Retail, third-party retail data like IRI, Nielsen).

Nice-to-Have:

  • Freelance/consulting experience delivering data modeling and data governance solutions.
  • Strong communication skills to collaborate with business stakeholders, data stewards, and technical teams.

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