Cloud-Centric Data Solutions Specialist

5 days ago

Mangalore, Karnataka, India beBeeDataModeler Full time ₹ 15,00,000 - ₹ 20,00,000

Seeking a Freelance Data Modeler to collaborate 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.).
  • Govern data design and modelling by documenting metadata, business definitions, and constructing database objects for enterprise projects.
  • Develop a deep understanding of enterprise business domains (Customer, Sales, Finance, Supplier, Technology Inventory) to create scalable and reusable data solutions.
  • Collaborate in reviews of data model design, security, and code to ensure alignment with data product development.
  • Demonstrate expertise across multiple data paradigms: low-latency, relational, analytical, unstructured data lakes, and SAP data models.
  • Develop reusable, cloud-centric data models and support data mapping and integration efforts.
  • 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 and enhanced applications.
Required Skills:
  • Strong proficiency with data modelling tools (ER/Studio, Erwin, IDM/ARDM).
  • Experience in domain-specific data modelling 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 other 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, and third-party retail data like IRI, Nielsen).

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