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Data Migration Remote Jobs in Rhode Island (NOW HIRING)

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... migration programs across data, applications, and cloud platforms. This role will help clients ...

Senior Cloud Engineer

Johnston, RI · Remote

$56 - $75/hr

Migration of on-premises infrastructure to Cloud native including upgrading monolithic applications ... Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy Background Check Any ...

New

Senior Cloud Engineer

Johnston, RI · On-site +1

$56 - $75/hr

Migration of on-premises infrastructure to Cloud native including upgrading monolithic applications ... Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If ...

Senior Cloud Engineer

Johnston, RI · On-site +1

$56 - $75/hr

Migration of on-premises infrastructure to Cloud native including upgrading monolithic applications ... Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If ...

Data Migration Remote information

See Rhode Island salary details

$27

$67

$84

How much do data migration remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data migration remote in Rhode Island is $67.81, according to ZipRecruiter salary data. Most workers in this role earn between $60.53 and $80.10 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 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.

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 popular job titles related to Data Migration Remote jobs in Rhode Island?

For Data Migration Remote jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Data Migration Remote jobs in Rhode Island look for?

The top searched job categories for Data Migration Remote jobs in Rhode Island are:

What cities in Rhode Island are hiring for Data Migration Remote jobs?

Cities in Rhode Island with the most Data Migration Remote job openings:

Infographic showing various Data Migration Remote job openings in Rhode Island as of July 2026, with employment types broken down into 70% Full Time, 8% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,049 per year, or $67.8 per hour.

$64.75 - $83.25/hr

Full-time

Re-posted 29 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

  1. Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support realtime streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Handson experience with Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Handson experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.