GeorgiaTEK Systems Inc.
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in Seattle, WA, requiring 10+ years of experience. The contract lasts 4 days in-office weekly, with a focus on Databricks, Unity Catalog, and data governance. Key skills include ETL, data integrity, and machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, United States
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🧠 - Skills detailed
#Compliance #Batch #Data Governance #Data Integrity #Databricks #"ETL (Extract #Transform #Load)" #Collibra #Data Pipeline #Data Science #Data Security #ML (Machine Learning) #Metadata #Data Architecture #Security #Data Management #Scala #Strategy
Role description
Title- Data Platform Engineer with Databricks and Unity Catalog.
location - Seattle WA
4 days office is must
core skills
Experience – 10+ years
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.
Ensure data security and compliance with regulations using Databricks and Privacera's features.
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions
Title- Data Platform Engineer with Databricks and Unity Catalog.
location - Seattle WA
4 days office is must
core skills
Experience – 10+ years
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.
Ensure data security and compliance with regulations using Databricks and Privacera's features.
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions
