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Data Migration Remote Jobs in Detroit, MI (NOW HIRING)

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation. * Architect secure, cost-efficient ...

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Data Migration Remote information

See Detroit, MI salary details

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How much do data migration remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data migration remote in Detroit, MI is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $54.28 and $83.51 per hour, depending on experience, location, and employer.

What is a data migration remote job?

Data Migration Remote jobs involve transferring data from one system, database, or storage format to another while working remotely. Professionals in these roles handle tasks such as planning migration strategies, mapping data fields, ensuring data integrity, and troubleshooting issues that arise during the process. These positions often require strong technical skills, experience with databases, and familiarity with cloud platforms or migration tools. Remote data migration specialists collaborate with teams virtually, using communication and project management tools to coordinate efforts and ensure successful data transitions.

What are the key skills and qualifications needed to thrive as a data migration specialist working remotely, and why are they important?

To thrive as a Data Migration Specialist working remotely, you need expertise in data analysis, database management, and proficiency with data migration methodologies, typically backed by a degree in computer science or IT. Familiarity with tools like SQL, ETL platforms (such as Informatica or Talend), and cloud migration systems is crucial, along with certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills, especially when collaborating with distributed teams. These skills ensure data integrity, seamless transitions between systems, and successful remote project execution.

What is the difference between Data Migration Remote vs Data Analyst Remote?

AspectData Migration RemoteData Analyst Remote
Required CredentialsTypically requires SQL, ETL tools, and database management certificationsRequires SQL, Excel, and data visualization certifications
Work EnvironmentPrimarily involves database management, scripting, and technical tasksFocuses on data analysis, reporting, and insights generation
Employer & Industry UsageUsed in IT, data management, and software companies for system upgradesCommon in finance, marketing, and consulting firms for business insights

Data Migration Remote and Data Analyst Remote roles share some technical skills like SQL but differ in focus. Data Migration Remote emphasizes database management and system transfers, while Data Analyst Remote centers on analyzing data to inform business decisions. Both roles are vital in data-driven industries but serve distinct functions.

What are common challenges faced during remote data migration projects, and how can they be addressed?

Remote data migration professionals often encounter challenges such as coordinating across distributed teams, ensuring data security during transfers, and managing unexpected data compatibility issues. Clear communication and regular virtual meetings are essential to stay aligned with team members and stakeholders. Utilizing secure transfer protocols and robust validation processes helps maintain data integrity and security. Proactively planning for potential roadblocks and documenting each step can significantly reduce project risks and ensure smoother migrations.

Is data migration difficult?

Data migration can be complex depending on the volume, data types, and systems involved. It requires careful planning, knowledge of database tools, and attention to data integrity to ensure a successful transfer. Skilled professionals often use specialized software and follow best practices to manage potential challenges.
What are the most commonly searched types of Data Migration jobs in Detroit, MI? The most popular types of Data Migration jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Migration Remote jobs? Cities near Detroit, MI with the most Data Migration Remote job openings:

Cloud Data Architect

Arbor Research

Ann Arbor, MI • On-site, Remote

$107K - $176K/yr

Full-time

Posted 8 days ago


Job description

Characteristic Duties and Responsibilities
  • Design and build AWS-based data platforms, including data lakes and analytics environments using services such as S3, Glue, Athena, Redshift, and Lake Formation.
  • Architect secure, cost-efficient cloud infrastructure using IAM, KMS, CloudWatch, and related services.
  • Implement data governance, security controls, and compliance frameworks consistent with appropriate requirements / standards.
  • Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making.
  • Enable secure, automated delivery of curated data to BI and decision-making dashboards using modern DevSecOps practices.
  • Monitor system performance, automate scaling, and ensure high availability and resilience of the data environment.
  • Optimize data storage and query performance, balancing cost and efficiency across environments.
  • Support user access, permissions management, and data sharing models between internal and external collaborators.
  • Develop infrastructure-as-code templates and maintain documentation for deployment and configuration.
  • Provide technical mentorship to data and software engineering teams regarding AWS best practices and architecture patterns.

Core Values
Our core values define who we are as an organization and serve as the foundation of our code of ethics. Arbor Research expects all employees to embody these and demonstrate them in our day-to-day work.
  • Collaborative Spirit

We expect each staff member to learn from and teach one another and ask each to exhibit a curiosity and respect for the contributions of others.
  • Creativity

We strive to cultivate a challenging, stimulating, and supportive environment where our employees are expected to be inquisitive, take initiative, and demonstrate ingenuity.
  • Credibility

Our employees are smart, thoughtful, and objective in their work. We expect them to be technically solid in their area of expertise, and for those conducting research to demonstrate scientific rigor.
  • Dedication

Our team achieves success because of our dedication to carrying out high quality work and delivering trusted results.
Supervision Received
General administrative supervision is received from the Director of Data Services. Close collaboration is expected with other project work teams (investigators, analysts, project support, etc.).
Supervision Exercised
Direct reports may include Programmers (levels I, II, and Senior) with assignments on the Managing Programmer's work group.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience designing and implementing data solutions in AWS.
• Proficiency in AWS services such as S3, Glue, Lambda, Redshift, CloudFormation, and IAM.
• Strong experience with SQL and at least one scripting language (Python preferred).
• Experience with data lakehouse design patterns, schema management, and ETL orchestration tools.
• Familiarity with DevSecOps principles and cloud security standards.
• Strong problem-solving skills and ability to work independently or within multidisciplinary teams.
• AWS Certified Data Analytics - Specialty, or AWS Certified Solutions Architect preferred.
Desirable Qualifications
  • Non-profit experience
  • Health research background

Annual Salary Range
$107,000-176,000
(US National Average)
Base Compensation Determination
Base Compensation is determined by market range and geographic location pay zones. Base Compensation also includes various individual factors unique to each candidate such as job level, prior experience, skill set, certification and educational which may impact the compensation structure.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.