Data Modeler: INTL -India

Primary focus would be to partner with Enterprise Architecture to create Data Models, establish data standards and govern across all development; advocate and assist in governing Enterprise Architecture standards and strategy via data solutions.
Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting
Independently complete designs and database object constructs on any supported platform, including Microsoft Azure, Synapse, Teradata, Sybase, Salesforce, Oracle, and/or DB2 (Accountable)
Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

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Required Skills & Experience

6-9 years experience in performing data modeling/data design, hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Solutions Delivery experience - expertise in system development lifecycle, integration, and sustainability
Advanced data modeling or database experience; experience with Data Lake/Lakehouse, Synapse, IDM, ER/Studio and/or Erwin modeling tools
Knowledge on Data lake/Cloud Platforms(Azure - Synapse), ADF, Databricks
Good understanding of CPG/PepsiCo business processes, Industry data models and EDW/MDM environments

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.