Lead Data Modeler

Gurugram, India

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C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Independently complete conceptual, logical, and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse, or other Cloud data warehousing technologies.
Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment-funded projects, as assigned.
Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
Drive collaborative reviews of data model design, code, data, and security features to drive data product development.
Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.
Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.
Partner with the data stewards team for data discovery and action by business customers and stakeholders.
Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to or new applications/reporting.
Assist with data planning, sourcing, collection, profiling, and transformation.
Support data lineage and mapping of source system data to canonical data stores.
Create Source to Target Mappings (STTM) for ETL and BI developers.

Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG /
Manufacturing/Sales/Finance/Supplier/Customer domains)
Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.
Experience with version control systems like GitHub and deployment & CI tools.
Experience with metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retail Data like IRI, Nielsen Retail.

Bachelor’s degree
Data Modeling (6 Years), Erwin (4 Years), SQL (5 Years), SAP Hana

Independently complete conceptual, logical, and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse, or other Cloud data warehousing technologies.
Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment-funded projects, as assigned.
Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
Drive collaborative reviews of data model design, code, data, and security features to drive data product development.
Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.
Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.
Partner with the data stewards team for data discovery and action by business customers and stakeholders.
Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to or new applications/reporting.
Assist with data planning, sourcing, collection, profiling, and transformation.
Support data lineage and mapping of source system data to canonical data stores.
Create Source to Target Mappings (STTM) for ETL and BI developers.

Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG /
Manufacturing/Sales/Finance/Supplier/Customer domains)
Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.
Experience with version control systems like GitHub and deployment & CI tools.
Experience with metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retail Data like IRI, Nielsen Retail.

Bachelor’s degree
Data Modeling (6 Years), Erwin (4 Years), SQL (5 Years), SAP Hana

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DISCLAIMER AND NOTIFICATION

We (C5i) do not charge/accept any amount or security deposit from job seekers during the selection process or while inviting candidates for an interview.

If you meet our position requirements and can see yourself at C5i, we invite you to apply by e-mailing your resume and cover letter to us at careers@c5i.ai. Please include the job title in your subject line. We do not accept any hiring requests on phone.

Please note that the hiring process at C5i is based purely on merit. If you are applying via any third-party recruitment site or agency, ensure that no monetary transaction is involved in the application/selection process.