

STAFFWORXS
Databricks Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect in Chicago, IL (Hybrid) on a long-term contract. Requires 12–16 years in Data & Analytics architecture, preferably in Financial Services. Key skills include SQL, Python, Databricks, and AWS. Preferred certifications: Databricks Certified Data Engineer or Architect, AWS Solution Architect.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Data Engineering #"ETL (Extract #Transform #Load)" #Python #Data Warehouse #Data Architecture #PySpark #Databricks #S3 (Amazon Simple Storage Service) #Data Governance #AWS S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Spark (Apache Spark) #Scala #IAM (Identity and Access Management) #Delta Lake #Trino #Data Lake #EDW (Enterprise Data Warehouse) #Security #SQL (Structured Query Language)
Role description
At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.
Job Details:
Job Title: Data Architect
Location: Chicago, IL (Hybrid)
Duration: Long term Contract
Role Summary
Responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms, enabling scalable data lakes, Lakehouse solutions, and enterprise analytics for financial services organizations.
Key Responsibilities
• Define enterprise data architecture for Data Lake and Lakehouse platforms
• Design scalable architectures on AWS and Databricks
• Define Medallion architecture (Bronze, Silver, Gold) standards
• Establish data governance, security, and architecture standards
• Guide engineering teams on scalable data platform implementation
• Collaborate with business and analytics teams to translate data requirements
Technical / Functional Skills
• Strong SQL, Python, and PySpark expertise
• Hands-on experience with Databricks Lakehouse and Delta Lake
• Experience designing enterprise data lakes on AWS (S3, IAM)
• Knowledge of dimensional modeling and enterprise data warehouse design
• Experience with distributed query engines such as Trino
Experience
12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets.
Certifications (Preferred)
Databricks Certified Data Engineer or Architect, AWS Solution Architect (Preferred)
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.
Job Details:
Job Title: Data Architect
Location: Chicago, IL (Hybrid)
Duration: Long term Contract
Role Summary
Responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms, enabling scalable data lakes, Lakehouse solutions, and enterprise analytics for financial services organizations.
Key Responsibilities
• Define enterprise data architecture for Data Lake and Lakehouse platforms
• Design scalable architectures on AWS and Databricks
• Define Medallion architecture (Bronze, Silver, Gold) standards
• Establish data governance, security, and architecture standards
• Guide engineering teams on scalable data platform implementation
• Collaborate with business and analytics teams to translate data requirements
Technical / Functional Skills
• Strong SQL, Python, and PySpark expertise
• Hands-on experience with Databricks Lakehouse and Delta Lake
• Experience designing enterprise data lakes on AWS (S3, IAM)
• Knowledge of dimensional modeling and enterprise data warehouse design
• Experience with distributed query engines such as Trino
Experience
12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets.
Certifications (Preferred)
Databricks Certified Data Engineer or Architect, AWS Solution Architect (Preferred)
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.





