

Data Architect
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
680
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ποΈ - Date discovered
August 21, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Chicago, IL
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π§ - 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 β Hybrid, Downtown Chicago (Direct Client, Contract-to-Hire)
Weβre 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:
Youβll 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 β 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 β 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.
Data Architect β Hybrid, Downtown Chicago (Direct Client, Contract-to-Hire)
Weβre 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:
Youβll 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 β 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 β 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.