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# Data Architect

- **Company:** Talent Groups
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Unity 3d, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Database Queries, Dimensional Modeling, Meta-Data Management, Power BI, Cloud Services, Azure Data Lake, Data Streaming, Technical Data Management Systems, Enterprise Data Management, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Change Data Capture, Git, Data Layers, Build Management, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Terraform, Databricks
- **Published:** June 29, 2026
- **Apply:** https://www.dice.com/job-detail/2dae26e6-bdca-47dc-afd3-b67bdc414f7a

## About the Role

* Bachelor''s or Master''s degree in Computer Science, Information Technology, Data Engineering, Data Architecture, or a related field
 * Five or more years of experience in data architecture, data modeling, data engineering, or enterprise data platform design
 * Strong hands on experience with dimensional modeling, including facts, dimensions, conformed dimensions, slowly changing dimensions, business keys, and surrogate keys
 * Experience with medallion architecture, lakehouse architecture, enterprise data warehouses, and cloud data platforms
 * Experience creating source to target mappings, profiling data, documenting business rules, and defining transformation requirements
 * Strong SQL skills
 * Experience with Snowflake, Databricks, Azure Data Factory, Azure Data Lake Storage, or similar technologies
 * Experience with data modeling and metadata management tools such as ERwin, ER/Studio, or similar platforms
 * Knowledge of batch, streaming, change data capture, API, incremental, merge, and historical load patterns
 * Strong communication and stakeholder management skills, * Experience supporting retail, merchandising, loyalty, supply chain, finance, operations, or customer data domains
 * Experience with Snowflake architecture, optimization, and governance
 * Hands on experience with Databricks, Spark, PySpark, Delta Lake, and Unity Catalog
 * Experience with semantic layer design and Power BI semantic models
 * Experience with CI/CD, Git, Azure DevOps, Terraform, and infrastructure as code
 * Experience working in Agile environments and enterprise data transformation initiatives
 * Relevant certifications in Snowflake, Databricks, Azure, or Data Architecture

## Description

Talent Groups is seeking an experienced Data Architect to help design and build a modern enterprise data platform that enables trusted, scalable, and business driven decision making. This is a high impact opportunity to shape enterprise data products that support analytics, business intelligence, and AI initiatives., * Design scalable enterprise data models using dimensional modeling, conformed dimensions, certified facts, business keys, surrogate keys, and semantic ready structures

 * Develop source to target mappings across raw, cleansed, refined, and curated data layers
 * Define data ingestion patterns, business rules, transformation logic, and data quality standards
 * Partner with Data Governance teams to establish ownership, lineage, metadata, privacy, retention, and access controls
 * Collaborate with Data Engineering and Platform Engineering teams to implement scalable cloud solutions
 * Partner with Technical Data Product Owners, analytics teams, and business stakeholders to develop reusable enterprise data products
 * Participate in architecture reviews and contribute to enterprise standards and best practices
 * Mentor engineers and analysts on dimensional modeling, medallion architecture, and enterprise data design

Technology Environment

 * Snowflake
 * Databricks
 * Microsoft Azure
 * Four layer medallion architecture
 * Enterprise data products supporting analytics, reporting, semantic models, and AI initiatives


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