Cloud Data Modelling Professional

1 day ago

Pune, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Cloud Data Modelling Expert

We are seeking a skilled Cloud Data Modelling Expert to design, govern and implement 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.

Key Responsibilities:

  • Independently 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 and investment projects.
  • Build a deep understanding of enterprise business domains (Customer, Sales, Finance, Supplier, Technology Inventory) to create scalable and reusable data solutions.
  • Lead collaborative 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.
  • Assist with data sourcing, profiling, planning and transformation activities.
  • Support data lineage mapping and creation of Source-to-Target Mappings (STTM) for ETL and BI developers.

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).

Nice-to-Have:

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

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