Data Architect

Hybrid in Charlotte, NC, US • Posted 2 days ago • Updated 2 days ago
Contract W2
6 Months
No Travel Required
Hybrid
$70 - $90/hr
Fitment

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Job Details

Skills

  • Terraform
  • Snow Flake Schema
  • SQL
  • Reporting
  • PySpark
  • Microsoft Power BI
  • Microsoft Azure
  • Meta-data Management
  • ERwin
  • Dimensional Modeling
  • DevOps
  • Databricks
  • Data Modeling
  • Data Lake
  • Data Governance
  • Data Architecture
  • Data Engineering
  • Data Warehouse
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Business Intelligence
  • Artificial Intelligence
  • Apache Spark
  • Analytics
  • Agile
  • API

Summary

Job Title: Data Architect

Location: Charlotte, NC (28217) or Tempe, AZ (85284) | Hybrid
Employment Type: 6+ Month W2 Contract to Hire (No C2C or sponsorship available)

About the Role

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.

The ideal candidate will bring strong expertise in dimensional modeling, medallion architecture, cloud data platforms, and enterprise data warehousing. You will partner with teams across data engineering, governance, analytics, and business operations to build trusted, reusable, and scalable data solutions.

Key Responsibilities

  • 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

Required Qualifications

  • 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

Preferred Qualifications

  • 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

Talent Groups is an equal opportunity employer. Only qualified candidates will be contacted.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099677
  • Position Id: 9012232
  • Posted 2 days ago
Contact the job poster
JH

James Hatch

Recruiter @ Talent Groups
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