Seeking Experienced Cloud Data Modeler

2 days ago

Belgaum, Karnataka, India beBeeDataModeler Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Description

We are seeking a seasoned Cloud Data Modeler 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.

The successful candidate will be responsible for independently designing and delivering conceptual, logical, and physical data models for cloud and on-premises platforms. They will also govern data design and modeling by documenting metadata, business definitions, and constructing database objects for enterprise and investment projects.

A deep understanding of enterprise business domains is essential to create scalable and reusable data solutions. The Cloud Data Modeler will lead collaborative reviews of data model design, security, and code to ensure alignment with data product development. They will demonstrate expertise across multiple data paradigms: low-latency, relational, analytical, unstructured data lakes, and SAP data models.

The Cloud Data Modeler will develop reusable, cloud-centric data models and support data mapping and integration efforts. They will partner with data stewards to support data discovery, governance, and business stakeholder engagement. The role requires providing data analysis, requirements gathering, solution development, and design reviews for new and enhanced applications.

Responsibilities include assisting with data sourcing, profiling, planning, and transformation activities. Additionally, the Cloud Data Modeler will support data lineage mapping and creation of Source-to-Target Mappings (STTM) for ETL and BI developers.

Key skills and qualifications include strong proficiency with data modelling tools (ER/Studio, Erwin, IDM/ARDM). Experience in domain-specific data modelling for CPG, Manufacturing, Sales, Finance, Supplier, Customer is also required. Hands-on expertise with at least one MPP database technology (Databricks Lakehouse, Redshift, Synapse, Teradata, Snowflake) is necessary.

The Cloud Data Modeler should have experience with GitHub or other version control systems, CI/CD pipelines, and deployment automation. Familiarity with metadata management, data lineage, and glossaries is also desired. A working knowledge of Agile, DevOps, and DataOps methodologies is essential.

Nice-to-have qualifications include prior freelance/consulting experience delivering data modelling and data governance solutions. Strong communication skills to collaborate with business stakeholders, data stewards, and technical teams are also beneficial.

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