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 38% of openings are remote or hybrid, with roles concentrated across Technology & Software, Staffing & Recruiting, and Consulting & Professional Services and employers like TikTok, Ursus, and Gruve Tech hiring at this level now.
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Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
Role: Healthcare Data Architect
Domain: Healthcare Payer
Core Technologies: HealthEdge, SQL Server, Oracle, Databricks, SnapLogic, Azure Data Factory, Data Warehousing, Data Modelling, ETL
Role Overview:
- We are seeking an experienced Healthcare Data Architect / Data Program Manager to drive data architecture, platform modernization, and program delivery. The role combines strong technical expertise in data warehousing, ETL, and lakehouse technologies with client consulting, stakeholder management, and end-to-end delivery ownership.
- The candidate will build trusted business relationships, proactively identify risks and improvement opportunities, and drive scalable, business-aligned data solutions.
Key Responsibilities:
- Data Architecture & Modeling: Design enterprise data warehouse and lakehouse architectures, dimensional data models, and business-aligned data marts in collaboration with business users.
- HealthEdge & Data Warehousing: Provide consulting on HealthEdge data warehouse environments, assess existing schemas and data flows, and recommend solutions for data integration and analytics.
- Databricks & Lakehouse Modernization: Lead migration from traditional data warehouses to Databricks. Design and develop data pipelines, configure and manage jobs, implement ETL/ELT workflows, and leverage Medallion Architecture (Bronze, Silver, Gold).
- Data Integration & ETL: Design and guide data integration solutions using SnapLogic, Azure Data Factory (ADF), and Databricks to connect enterprise applications, operational systems, and downstream analytics platforms.
- Business & Client Engagement: Build strong relationships with business users, client stakeholders, and application owners. Lead requirement discussions, translate business needs into technical solutions, and align architecture with business objectives.
- Proactive Risk & Opportunity Management: Identify data gaps, integration challenges, performance issues, architectural limitations, risks, and dependencies early. Drive mitigation plans and identify opportunities for modernization and business growth.
- Program & Delivery Management: Oversee end-to-end solution delivery, coordinating architects, technical leads, data engineering teams, and onshore/offshore resources to ensure quality, timelines, and business outcomes.
- Stakeholder Communication: Define delivery plans and milestones, provide weekly status updates, manage escalations, and maintain alignment across business and technology teams.
Required Skills & Experience:
- Strong expertise in data architecture, data warehousing, SQL Server, dimensional modeling, and data mart development.
- Hands-on experience with Databricks, including pipeline development, job orchestration, data migration, and lakehouse implementation.
- Experience with ETL/ELT and data integration tools such as SnapLogic and Azure Data Factory.
- Knowledge of Medallion Architecture and enterprise data platform modernization.
- Strong client consulting, stakeholder management, program delivery, communication, and proactive risk management skills.
- Experience working in an onshore–offshore delivery model.
Preferred Qualifications:
- Healthcare payer domain knowledge, including claims, enrollment, membership, benefits, and provider data.
- Experience with HealthEdge platforms and associated data warehouses.
- Familiarity with Power BI, Tableau, and enterprise analytics solutions.
Pay: $80.00 - $85.00 per hour
Expected hours: 40.0 per week
Experience:
- Healthcare Data Architect: 4 years (Required)
- Databricks: 4 years (Required)
- ETL/ELT and data integration: 3 years (Required)
- onshore–offshore delivery model: 3 years (Required)
- HealthEdge platforms : 2 years (Required)
Work Location: Remote
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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 TikTok, Ursus, and Gruve Tech, based on current listings on Migrate Mate as of November 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 38% of mid level data architect openings are remote or hybrid as of November 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, Staffing & Recruiting, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 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.