Lead Data Modeler

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Experience with at least one MPP database technology such as Databricks Lakehouse
Redshift
Synapse
Teradata
or Snowflake.

Job Details

Role- Lead Data Modeler

Location- Remote

Exp: 10+ Years

Job Description:

  • 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 of 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, Retails Data like IRI, Nielsen Retail.

Roles & Responsibilities:

  • 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 constructions 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, 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.
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