Data Architect Jobs in Connecticut
Data Architect jobs in Connecticut are open across Hartford, Stamford, and Storrs and other Connecticut metros, with employers like Travelers, CVS Health, and Cognizant hiring at every experience level. Find a role that fits below and apply directly.
Find Data Architect JobsOverview
Showing 5 of 13+ Data Architect jobs
Data Platform Architect (AWS / Snowflake / ETL)
Location: Hartford, CT (Hybrid – 3 days in office)
Employment Type: Full-time
About the Role
We are seeking a highly skilled Data AWS Architect to design and deliver scalable, cloud-native data and analytics solutions. In this role, you will lead the architecture and implementation of modern data platforms, enabling advanced analytics and AI-driven outcomes for enterprise and customer needs.
You will partner with cross-functional teams to define technical standards, guide development teams, and ensure the delivery of secure, resilient, and high-performing solutions on AWS.
Key Responsibilities
- Design and architect scalable data and AI platforms leveraging modern cloud technologies
- Define and enforce technical standards, best practices, and governance for data engineering and analytics solutions
- Lead the design and implementation of cloud-native data pipelines (ETL/ELT)
- Provide hands-on guidance to engineering teams on architecture, development, and deployment
- Build and optimize data workflows using AWS services and distributed processing frameworks
- Ensure solutions are secure, resilient, and cost-efficient, aligned with enterprise standards
- Translate business and technical requirements into scalable data solutions
- Drive innovation in data architecture to improve performance, scalability, and accessibility
Required Qualifications
Strong experience with AWS-based data engineering and analytics solutions
Hands-on expertise in AWS Glue (ETL/ELT) and/or Ab Initio ETL tools
Deep understanding of:
- Amazon S3 (storage, partitioning, lifecycle management)
- Parquet file formats and query optimization
- AWS Lambda for event-driven processing
Experience working with cloud databases such as:
- Snowflake
- Amazon Aurora PostgreSQL
Solid knowledge of:
- AWS Step Functions and orchestration/scheduling frameworks
- Python and PySpark for large-scale data processing
- Proven ability to design scalable, distributed data architectures
Preferred Qualifications
- Experience building enterprise data lake/lakehouse architectures
- Familiarity with data governance, security, and compliance frameworks
- Exposure to AI/ML data pipelines and analytics enablement
- Strong consulting and stakeholder engagement skills
Work Model
This role follows a hybrid work model, requiring 3 days per week onsite in Hartford, CT.
Compensation
salary range: $110,000 – $130,000 base salary
Why Join Us?
At Cognizant, you’ll be part of a global community that values innovation, collaboration, and continuous learning. You will work on cutting-edge technologies, influence enterprise-scale data platforms, and drive meaningful business outcomes.
Equal Opportunity Statement
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are respected and valued.
Data Platform Architect (AWS / Snowflake / ETL)
Location: Hartford, CT (Hybrid – 3 days in office)
Employment Type: Full-time
About the Role
We are seeking a highly skilled Data AWS Architect to design and deliver scalable, cloud-native data and analytics solutions. In this role, you will lead the architecture and implementation of modern data platforms, enabling advanced analytics and AI-driven outcomes for enterprise and customer needs.
You will partner with cross-functional teams to define technical standards, guide development teams, and ensure the delivery of secure, resilient, and high-performing solutions on AWS.
Key Responsibilities
- Design and architect scalable data and AI platforms leveraging modern cloud technologies
- Define and enforce technical standards, best practices, and governance for data engineering and analytics solutions
- Lead the design and implementation of cloud-native data pipelines (ETL/ELT)
- Provide hands-on guidance to engineering teams on architecture, development, and deployment
- Build and optimize data workflows using AWS services and distributed processing frameworks
- Ensure solutions are secure, resilient, and cost-efficient, aligned with enterprise standards
- Translate business and technical requirements into scalable data solutions
- Drive innovation in data architecture to improve performance, scalability, and accessibility
Required Qualifications
Strong experience with AWS-based data engineering and analytics solutions
Hands-on expertise in AWS Glue (ETL/ELT) and/or Ab Initio ETL tools
Deep understanding of:
- Amazon S3 (storage, partitioning, lifecycle management)
- Parquet file formats and query optimization
- AWS Lambda for event-driven processing
Experience working with cloud databases such as:
- Snowflake
- Amazon Aurora PostgreSQL
Solid knowledge of:
- AWS Step Functions and orchestration/scheduling frameworks
- Python and PySpark for large-scale data processing
- Proven ability to design scalable, distributed data architectures
Preferred Qualifications
- Experience building enterprise data lake/lakehouse architectures
- Familiarity with data governance, security, and compliance frameworks
- Exposure to AI/ML data pipelines and analytics enablement
- Strong consulting and stakeholder engagement skills
Work Model
This role follows a hybrid work model, requiring 3 days per week onsite in Hartford, CT.
Compensation
salary range: $110,000 – $130,000 base salary
Why Join Us?
At Cognizant, you’ll be part of a global community that values innovation, collaboration, and continuous learning. You will work on cutting-edge technologies, influence enterprise-scale data platforms, and drive meaningful business outcomes.
Equal Opportunity Statement
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are respected and valued.
See All 13 Data Architect Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Data Architect Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
- Travelers4
- CVS Health2
- Cognizant1
- CooperSurgical1
- Munich Re1
Top Industries Hiring
- Insurance6
- Healthcare & Medical Services2
- Technology & Software2
- Biotechnology & Pharmaceuticals1
- Consulting & Professional Services1
What Connecticut Employers Look For
The qualifications that appear most often in data architect jobs across Connecticut.
- 7 or more years of experience in data engineering, data modeling, or database architecture roles
- Proficiency in cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or Amazon Redshift
- Strong SQL skills and experience with both relational and NoSQL database design
- Experience designing dimensional models, data vaults, or enterprise data warehouse schemas
- Familiarity with data governance frameworks, metadata management, and data cataloging tools
- Bachelor's degree in computer science, information systems, or a related technical field
Data Architect Jobs in Connecticut: Frequently Asked Questions
How many data architect jobs are there in Connecticut?
There are 13+ data architect openings in Connecticut on Migrate Mate as of June 2026, with the most roles in Hartford, Stamford, and Storrs. New positions post regularly as employers across Connecticut hire.
Which Connecticut cities have the most data architect jobs?
Hartford, Stamford, and Storrs have the most data architect openings in Connecticut right now, with additional roles spread across smaller metros statewide.
Which companies hire data architects in Connecticut?
Employers hiring data architects in Connecticut include Travelers, CVS Health, and Cognizant, based on current listings on Migrate Mate as of June 2026.
Are there remote data architect jobs in Connecticut?
Yes. About 31% of data architect openings tied to Connecticut are remote or hybrid as of June 2026. The rest are on-site roles based in Connecticut metros.
How do I apply for data architect jobs in Connecticut?
You can apply to data architect jobs in Connecticut directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Connecticut location, then apply to each one that fits.
See All 13 Data Architect Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
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