Mid Level Data Migration Consultant Jobs
Mid level data migration consultant jobs go to professionals ready to own migration projects end to end, guide junior team members, and make architectural decisions without constant oversight. Openings are concentrated across Technology & Software, Staffing & Recruiting, and Consulting & Professional Services, with a strong mix of remote and hybrid settings, and employers like Capgemini, Veeva Systems, and Virtuous hiring at this level now.
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Showing 5 of 33+ Mid Level Data Migration Consultant jobs
Project overview: The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform. The new platform enables domain‑oriented data products, scalable analytics, and embedded governance, with AI‑based tools supporting data quality, anomaly detection, privacy, and compliance.
- Position overview: We are looking for a Middle–Senior Software Engineer / Data Engineer with a strong background in data platform engineering and migration delivery. We are specifically seeking candidates with experience in platform migration initiatives, the ability to take ownership of an existing design, and the capability to deliver independently with minimal supervision.
- The ideal candidate will combine strong implementation skills with the ability to contribute to technical design discussions and execute complex migration work across modern cloud data ecosystems.
- The estimated salary for this position is up to USD 150,000 per year.
- Preference will be given to candidates who can work in a hybrid model from NYC, Iselin (NJ), or Charlotte (NC), three days per week.
Technology stack: Python, SQL, NoSQL, Databricks, Snowflake, Apache Airflow, Flask, Streamlit, LLM/RAG, Azure (AWS/GCP exposure is a plus).
- Responsibilities: Design, develop, and enhance scalable ETL and ELT data pipelines
- Take ownership of existing platform designs and deliver migration work independently with minimal guidance
- Contribute to solution design and ensure high-quality implementation aligned with platform architecture
- Lead and execute the migration of data assets and workloads to a modern cloud-based platform built on Databricks
- Build and maintain orchestration workflows using Apache Airflow or similar tools
- Optimize Snowflake data models for performance, scalability, and cost efficiency
- Work closely with product, data, and platform teams to support migration goals and platform evolution
- Contribute to cloud-native application design and deployment
- Collaborate with AI engineers to integrate AI/LLM-enabled capabilities where applicable
- Support the integration or development of MCP servers where relevant
- Requirements: Senior candidates: 10+ years of professional experience in software engineering, data engineering, or data platform development
- Mid-level candidates: 4+ years of professional experience in software engineering, data engineering, or data platform development
- Strong experience building production-grade data pipelines
- Hands-on experience with Databricks, Snowflake, and Azure
- Experience working on platform migration or modernization initiatives
- Proven ability to work from an existing design and deliver independently with minimal supervision
- Solid experience with Snowflake, including data modeling and performance tuning
- Hands-on experience with Apache Airflow or similar orchestration tools
- Strong Python development skills
- Advanced SQL skills and working knowledge of NoSQL databases
- Experience working within modern cloud data platforms and distributed engineering teams
- Good understanding of scalable architecture patterns and data platform best practices
- Nice to have: Experience with medallion architecture or similar layered data platform models
- Exposure to platform migration initiatives or large-scale enterprise data transformation programs
- Hands-on experience with large language models (LLMs)
- Experience with retrieval-augmented generation (RAG) patterns
- Experience with embeddings and vector databases
- Experience using Streamlit or similar tools to build GenAI interfaces
- Exposure to MCP server development or integration
Project overview: The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform. The new platform enables domain‑oriented data products, scalable analytics, and embedded governance, with AI‑based tools supporting data quality, anomaly detection, privacy, and compliance.
- Position overview: We are looking for a Middle–Senior Software Engineer / Data Engineer with a strong background in data platform engineering and migration delivery. We are specifically seeking candidates with experience in platform migration initiatives, the ability to take ownership of an existing design, and the capability to deliver independently with minimal supervision.
- The ideal candidate will combine strong implementation skills with the ability to contribute to technical design discussions and execute complex migration work across modern cloud data ecosystems.
- The estimated salary for this position is up to USD 150,000 per year.
- Preference will be given to candidates who can work in a hybrid model from NYC, Iselin (NJ), or Charlotte (NC), three days per week.
Technology stack: Python, SQL, NoSQL, Databricks, Snowflake, Apache Airflow, Flask, Streamlit, LLM/RAG, Azure (AWS/GCP exposure is a plus).
- Responsibilities: Design, develop, and enhance scalable ETL and ELT data pipelines
- Take ownership of existing platform designs and deliver migration work independently with minimal guidance
- Contribute to solution design and ensure high-quality implementation aligned with platform architecture
- Lead and execute the migration of data assets and workloads to a modern cloud-based platform built on Databricks
- Build and maintain orchestration workflows using Apache Airflow or similar tools
- Optimize Snowflake data models for performance, scalability, and cost efficiency
- Work closely with product, data, and platform teams to support migration goals and platform evolution
- Contribute to cloud-native application design and deployment
- Collaborate with AI engineers to integrate AI/LLM-enabled capabilities where applicable
- Support the integration or development of MCP servers where relevant
- Requirements: Senior candidates: 10+ years of professional experience in software engineering, data engineering, or data platform development
- Mid-level candidates: 4+ years of professional experience in software engineering, data engineering, or data platform development
- Strong experience building production-grade data pipelines
- Hands-on experience with Databricks, Snowflake, and Azure
- Experience working on platform migration or modernization initiatives
- Proven ability to work from an existing design and deliver independently with minimal supervision
- Solid experience with Snowflake, including data modeling and performance tuning
- Hands-on experience with Apache Airflow or similar orchestration tools
- Strong Python development skills
- Advanced SQL skills and working knowledge of NoSQL databases
- Experience working within modern cloud data platforms and distributed engineering teams
- Good understanding of scalable architecture patterns and data platform best practices
- Nice to have: Experience with medallion architecture or similar layered data platform models
- Exposure to platform migration initiatives or large-scale enterprise data transformation programs
- Hands-on experience with large language models (LLMs)
- Experience with retrieval-augmented generation (RAG) patterns
- Experience with embeddings and vector databases
- Experience using Streamlit or similar tools to build GenAI interfaces
- Exposure to MCP server development or integration
See All 33 Mid Level Data Migration Consultant Jobs
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Find JobsMid Level Data Migration Consultant Job Market
Who's Hiring
- Capgemini6
- Veeva Systems3
- Virtuous2
- Tata Consultancy Services (TCS)2
- ADP1
Top Industries Hiring
- Technology & Software23
- Staffing & Recruiting2
- Consulting & Professional Services2
- Energy1
- Law & Legal Services1
Mid Level Data Migration Consultant Jobs: Frequently Asked Questions
How do I get a mid level data migration consultant job?
Position yourself around ownership and outcomes. Highlight projects where you led the migration lifecycle from assessment through cutover, not just contributed to one phase. Emphasize your ability to work with tools like Talend, Azure Data Factory, or AWS DMS, and point to measurable results such as reduced downtime or improved data quality. Tailor each application to the specific stack and industry the employer uses.
Which companies hire mid level data migration consultants?
Companies hiring mid level data migration consultants right now include Capgemini, Veeva Systems, and Virtuous, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large enterprises undergoing cloud transitions, systems integrators managing client migrations, and consulting firms building out delivery teams for data modernization engagements.
Are there remote mid level data migration consultant jobs?
Yes, and the share is substantial. About 42% of mid level data migration consultant openings are remote or hybrid as of July 2026, reflecting the project-based and tooling-heavy nature of the work. Fully on-site roles do exist, typically at organizations with strict data governance policies or where hands-on access to legacy infrastructure is required during cutover phases.
How do I move up to a mid level data migration consultant role?
The path from entry level to mid level is built through deepening your technical scope and taking on more of the project lifecycle. Early in your career, focus on mastering ETL pipelines, schema mapping, and data validation. Over time, seek opportunities to lead a migration workstream, own a cutover plan, or manage stakeholder communication directly. Demonstrable impact on data quality or migration speed signals readiness for mid level responsibility.
Which industries hire the most mid level data migration consultants?
Mid Level data migration consultant roles concentrate in Technology & Software, Staffing & Recruiting, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are actively consolidating legacy systems, moving workloads to the cloud, or integrating platforms following mergers and acquisitions, all of which require experienced consultants who can execute complex migrations with limited supervision.