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Data Migration Project Manager Jobs in Georgia (NOW HIRING)

CYNET SYSTEMS

Data Tech Lead with Java

Alpharetta, GA · On-site

$61 - $66/hr

Experience in data migration projects, especially Snowflake on-prem to Azure cloud migration ... Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and ...

Bright Mind Solutions LLC

Project Manager

Atlanta, GA · On-site

$60 - $65/hr

Below are the details and updates regarding the Project Manager position we are working to fill ... Experience in implementation, enhancement, upgrade, and migration projects across relevant ...

CRH

Sales Operations Project Manager

Atlanta, GA · On-site

... migration projects. * Partner with key leaders to build relationships, effectively roll out initiatives, and manage all other priorities. * Analyze large datasets and perform data cleans to support ...

CRH

Sales Operations Project Manager

Atlanta, GA · Hybrid

... migration projects. * Partner with key leaders to build relationships, effectively roll out initiatives, and manage all other priorities. * Analyze large datasets and perform data cleans to support ...

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All JobsData Migration Project JobsData Migration Project Manager JobsData Migration Project Manager Jobs in Georgia

Data Migration Project Manager information

See Georgia salary details

$14

$48

$67

How much do data migration project manager jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data migration project manager in Georgia is $48.56, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $56.83 per hour, depending on experience, location, and employer.

What is the difference between Data Migration Project Manager vs Data Analyst?

AspectData Migration Project ManagerData Analyst
Primary RoleOversees data migration projects, manages teams, ensures data integrity during transferAnalyzes data to identify trends, creates reports, supports decision-making
Required SkillsProject management, data management, communication, technical understanding of migration toolsData analysis, SQL, visualization, statistical skills
Work EnvironmentIT projects, cross-functional teams, client interactionsData-focused departments, business intelligence teams
CertificationsPMP, data management certifications often preferredData analysis certifications like CAP, Microsoft Certified Data Analyst

The Data Migration Project Manager primarily oversees the planning and execution of data transfer projects, ensuring smooth migration and data integrity. In contrast, a Data Analyst focuses on interpreting data, creating insights, and supporting business decisions. While both roles require technical skills, the project manager emphasizes coordination and management, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a data migration project manager, and why are they important?

To thrive as a Data Migration Project Manager, you need a solid background in project management, data analysis, and IT systems, often supported by a relevant degree and certifications like PMP or PRINCE2. Familiarity with data migration tools (such as Informatica, Talend, or Microsoft Data Migration Assistant), databases, and enterprise resource planning (ERP) systems is typically required. Strong soft skills include problem-solving, stakeholder communication, and leadership to effectively coordinate teams and manage risks. These skills ensure data is migrated accurately and efficiently, minimizing business disruption and safeguarding data integrity during complex transitions.

What is a data migration project manager?

A Data Migration Project Manager is a professional responsible for overseeing and coordinating the transfer of data from one system or storage location to another. They plan, manage, and execute data migration projects, ensuring data integrity, minimizing downtime, and meeting business objectives. This role involves collaborating with IT teams, stakeholders, and vendors to ensure a smooth and secure migration process. Data Migration Project Managers also address risks, troubleshoot issues, and communicate project status to all involved parties.

What are some common challenges faced by data migration project managers during large-scale migration projects?

Data Migration Project Managers often encounter challenges such as managing data integrity during transfers, aligning diverse stakeholder expectations, and handling unexpected legacy system issues. Coordinating cross-functional teams to ensure seamless communication and timely execution is also a frequent hurdle. Additionally, balancing the need for minimal business disruption while maintaining project timelines can require proactive risk management and adaptable problem-solving skills.

What are popular job titles related to Data Migration Project Manager jobs in Georgia?

For Data Migration Project Manager jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Migration Project Manager jobs in Georgia look for?

The top searched job categories for Data Migration Project Manager jobs in Georgia are:

What cities in Georgia are hiring for Data Migration Project Manager jobs?

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Data Migration Project Manager jobs near you
Infographic showing various Data Migration Project Manager job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $101,002 per year, or $48.6 per hour.

Data Migration & AI Transformation Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Re-posted 7 days ago

Job description

Overview:
Job Title: Data Migration & AI Transformation Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: You cannot build an enterprise AI agent if the data is trapped in an outdated, siloed database. R2 Technologies is looking for a Data Migration & AI Transformation Engineer to untangle legacy data schemas and migrate them to modern cloud environments. Utilizing AI-assisted data tools, you will transform historical enterprise data into modern formats (like Iceberg) and build the embedding pipelines necessary to make that data searchable and usable by Generative AI and our SmartEnt platform.
Key Responsibilities: * Design and execute the migration of data from legacy on-premise databases (e.g., older Oracle, DB2, SQL Server) to modern cloud data platforms (Snowflake, Databricks, BigQuery).
  • Utilize AI coding assistants to rapidly generate and optimize complex ETL/ELT pipelines, data transformation scripts, and schema translations.
  • Build and manage data embedding pipelines to vectorize historical enterprise data, loading it into Vector Databases (Pinecone, Qdrant) for AI consumption.
  • Implement modern open table formats (Apache Iceberg, Delta Lake) to future-proof data storage for advanced analytics and machine learning.
  • Prompt LLMs to analyze undocumented legacy database schemas, reverse-engineer data relationships, and automatically generate data dictionaries.
  • Ensure migrated data adheres to strict enterprise data governance, quality, and compliance standards.

Qualifications: * Up to 3 years of experience in Data Engineering, Database Administration, or Cloud Data Migration.
  • Strong proficiency in advanced SQL and Python for data manipulation.
  • Experience with legacy relational databases and modern cloud data warehouses.
  • Proven experience utilizing AI coding assistants to automate data pipeline generation and schema mapping.
  • Familiarity with text embedding concepts and Vector Database integration.

Understanding of modern data lakehouse architectures and data governance principles.
Skills:
Oracle,SQL Server,Snowflake

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