Mid Level Data Architect Jobs
Mid level data architect jobs call for professionals ready to own data modeling initiatives end to end, guide junior teammates, and make design decisions with minimal oversight. About 49% of openings are remote or hybrid, with roles concentrated across Technology & Software, Consulting & Professional Services, and Staffing & Recruiting and employers like AECOM, TikTok, and Ursus hiring at this level now.
Find Mid Level Data Architect JobsOverview
Showing 5 of 44+ Mid Level Data Architect jobs
Job Description
Job Title: Data Warehouse Architect 3Job Location: Lansing, MI (Hybrid)
Job Type: Contract
Job Description:
- Support and maintain enterprise data warehouse environments and ETL processes.
- Work with Teradata data warehouse systems, security, access, and data integration.
- Manage data warehouse code, DDL promotions, and change management activities.
- Support Common Batch Framework and Common Scheduler processes.
- Troubleshoot complex data warehouse, ETL, Linux, and system issues.
- Perform data architecture reviews, audits, data profiling, and data quality validation.
- Support ETL workflows and data loading from multiple source systems.
- Monitor system performance and support system upgrades, patching, and maintenance.
- Develop and maintain technical documentation for data architecture and processes.
- Support data cleansing, standardization, and data quality initiatives.
- Develop and maintain disaster recovery and backup strategies.
- Support security reviews, user access audits, and remediation of audit findings.
- Provide technical guidance and training to development teams.
- Work closely with developers, stakeholders, leadership, vendors, and technical teams.
- 3+ years of Teradata experience.
- 2+ years of Linux experience preferred.
- Strong English communication skills with the ability to explain complex technical concepts to technical and non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Experience with data warehouse, ETL, and data integration processes.
- Experience troubleshooting complex data and system issues.
- Experience supporting data from multiple source systems.
- Ability to work independently and as part of a team.
- Strong decision-making and troubleshooting skills.
- Experience with cloud-based BI tools is preferred.
Interested candidates can send their updated resumes at jobs@global-itech.com
Job Description
Job Title: Data Warehouse Architect 3Job Location: Lansing, MI (Hybrid)
Job Type: Contract
Job Description:
- Support and maintain enterprise data warehouse environments and ETL processes.
- Work with Teradata data warehouse systems, security, access, and data integration.
- Manage data warehouse code, DDL promotions, and change management activities.
- Support Common Batch Framework and Common Scheduler processes.
- Troubleshoot complex data warehouse, ETL, Linux, and system issues.
- Perform data architecture reviews, audits, data profiling, and data quality validation.
- Support ETL workflows and data loading from multiple source systems.
- Monitor system performance and support system upgrades, patching, and maintenance.
- Develop and maintain technical documentation for data architecture and processes.
- Support data cleansing, standardization, and data quality initiatives.
- Develop and maintain disaster recovery and backup strategies.
- Support security reviews, user access audits, and remediation of audit findings.
- Provide technical guidance and training to development teams.
- Work closely with developers, stakeholders, leadership, vendors, and technical teams.
- 3+ years of Teradata experience.
- 2+ years of Linux experience preferred.
- Strong English communication skills with the ability to explain complex technical concepts to technical and non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Experience with data warehouse, ETL, and data integration processes.
- Experience troubleshooting complex data and system issues.
- Experience supporting data from multiple source systems.
- Ability to work independently and as part of a team.
- Strong decision-making and troubleshooting skills.
- Experience with cloud-based BI tools is preferred.
Interested candidates can send their updated resumes at jobs@global-itech.com
See All 44 Mid Level Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Mid Level Data Architect JobsMid Level Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software12
- Consulting & Professional Services8
- Staffing & Recruiting4
- Construction & Real Estate3
- Science & Research2
Mid Level Data Architect Jobs: Frequently Asked Questions
How do I get a mid level data architect job?
Position yourself around ownership, not just participation. Highlight projects where you made architectural decisions, led data modeling efforts, or improved pipeline reliability without being told exactly what to do. Concrete outcomes matter more than job titles. Tailor your resume to show depth in a specific stack, whether cloud data platforms, dimensional modeling, or data mesh patterns, and demonstrate that you can operate with limited day-to-day direction.
Which companies hire mid level data architects?
Companies hiring mid level data architects right now include AECOM, TikTok, and Ursus, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including large enterprises modernizing legacy systems, fast-growing technology companies scaling their data infrastructure, and consulting firms staffing client-facing data initiatives.
Are there remote mid level data architect jobs?
Yes, remote and hybrid options are common at this level. About 49% of mid level data architect openings are remote or hybrid as of September 2026, reflecting how effectively this work translates to distributed teams. Fully on-site roles still exist, particularly at financial institutions and regulated industries, so the mix depends on the sector and employer.
How do I move up to a mid level data architect role?
The progression from entry level to mid level is built on demonstrated ownership over time. Focus on taking full responsibility for at least one end-to-end data modeling or pipeline project, learning to evaluate architectural trade-offs, and building fluency with enterprise data tools beyond your initial stack. Contributing to documentation, code reviews, and junior onboarding signals that you are ready to operate at mid level scope and influence.
Which industries hire the most mid level data architects?
Mid Level data architect roles concentrate in Technology & Software, Consulting & Professional Services, and Staffing & Recruiting, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they manage large, complex, and often regulated datasets that require professionals who can design scalable data systems and translate business requirements into durable architecture.