Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in a hybrid position in downtown Chicago, featuring a contract-to-hire engagement lasting over 6 months. Key skills include expertise in Snowflake, Azure, data engineering, and strong leadership in data architecture.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
680
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πŸ—“οΈ - Date discovered
August 21, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#ADF (Azure Data Factory) #Data Engineering #Leadership #Terraform #API (Application Programming Interface) #Data Lake #Databricks #Cloud #Azure Data Factory #Snowflake #Security #Azure #Compliance #Automation #Scala #Data Architecture #Data Pipeline #Infrastructure as Code (IaC) #Process Automation
Role description
Data Architect – Hybrid, Downtown Chicago (Direct Client, Contract-to-Hire) We’re seeking a Data Architect for a long-term, critical initiative with our direct client in downtown Chicago. This is a hybrid role (on-site 3 days a week) with strong potential to convert to full-time after 2026. About the Role: You’ll lead data architecture efforts for a large-scale Digital Process Automation / Client Onboarding & Maintenance program. This is a highly visible role working closely with product owners, enterprise architects, and offshore engineering teams to define and deliver scalable, secure, and governed data solutions. Key Responsibilities: β€’ Lead the data architecture practice – defining best practices, governance standards, and target architecture. β€’ Design and oversee data pipelines and integration from legacy systems into Snowflake (with exposure to Azure Data Lake/Databricks). β€’ Collaborate with business/product owners and enterprise architects to ensure alignment with business needs and regulatory standards. β€’ Guide API/data pipeline architecture, performance optimization, and automation. β€’ Engage with data mesh teams as both data producer and consumer. β€’ Ensure compliance with privacy, security, and data retention policies. β€’ Be hands-on with pipelines in early phases until the team expands. Required Experience: β€’ Proven data architecture leadership (governance, privacy, retention, trade-off decisions). β€’ Strong background in data engineering (ideally started as an engineer before becoming architect). β€’ Expertise in Snowflake and cloud platforms (Azure preferred). β€’ Experience with pipeline design, CI/CD, and infrastructure-as-code (Terraform/IaC). β€’ Familiarity with TOGAF/C4 models and data mesh concepts. β€’ Excellent stakeholder management and collaboration skills. Nice-to-Haves: β€’ Experience with Databricks or Azure Data Factory. β€’ Financial services industry background (preferred) or healthcare. β€’ Cloud/data certifications. β€’ Exposure to high-volume, low-latency systems. Location: Hybrid – Downtown Chicago Engagement: Contract-to-Hire (long-term, critical role) Vendors: Please do not reach out, have your candidate apply here. I will not response to your reach out for rate and Job description.