Staff Data Modeler

Essential functions

• 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/modeling – 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.
  

Qualifications

• 10+ years of overall technology experience that includes at least 8+ years of data modeling and systems architecture.

• 5+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.

• 6+ years of experience developing enterprise data models.

• 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).

• 4+ years of experience with building solutions in the retail or in the supply chain space.

• Expertise in data modeling 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.

• Bachelor’s degree in Computer Science, Computer Engineering or related field is required
  

Would be a plus

• 10+ years of overall technology experience that includes at least 8+ years of data modeling and systems architecture.
• 5+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 6+ years of experience developing enterprise data models.
• 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
• 4+ years of experience with building solutions in the retail or in the supply chain space.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.