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Open nowPosted 103 days ago

Director Principal Data Architect

authority50 open roles

Where
Atlanta Metropolitan Area, GA, USA
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Your applicationOpen nowDirector Principal Data Architectauthority · Atlanta Metropolitan Area, GA, USA

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  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 103 days ago

The posting

Authority Brands is seeking a highly skilled principal data architect with 10+ years of relevant experience to lead a data analytics platform migration from Redshift to Databricks and lead a small team (4-5 direct reports) of data engineers & Power BI developers.  This will be a muiti-year transformation and hands on experience is required to build out the Medallion architecture.  Key Responsibilities:

Lead analytics platform migration in AWS from Redshift environment (S3, RDS, Lambda, Glue) to new Databricks environment. Design, build, and optimize logical data model and stand up bronze, silver and gold semantic layer in Databricks. Develop and optimize complex SQL and Python‑based ETL processes across AWS service Own data modeling and schema design to support analytics, reporting, and downstream use cases. Partner with cross‑functional teams to understand data requirements and deliver well‑governed solutions. Establish and uphold data quality, validation, and documentation standards across pipelines and datasets. Monitor pipeline performance and proactively identify opportunities to improve reliability, scalability, and efficiency. Communicate technical concepts and data tradeoffs clearly to both technical and non‑technical stakeholders. Support the enablement of metrics, dashboards, and reporting by providing well‑modeled, trusted data foundations. 

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field.  Graduate degree in similar domain preferred. 10+ years of experience in data architecture & engineering or a closely related role. Strong SQL expertise and experience working with large datasets. Proficiency in Python for ETL, automation, and data pipeline development. Hands‑on experience with Databricks and Redshift environments within AWS data services Experience with data modeling, version control (Git), and CI/CD practices. Hands‑on experience leveraging LLMs such as Claude for accelerating data engineering workflows, including code generation, ETL transformations, test creation, schema documentation, and troubleshooting. Strong understanding of prompt design and model constraints within enterprise security guidelines Strong problem‑solving skills and ability to work independently in a fast‑moving environment. Excellent communication skills and comfort collaborating with cross‑functional partners.

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