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Data Migration Specialist

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Pi Square Technologies
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Role & responsibilities

Data migration specialist responsible for planning, mapping, extracting, transforming, loading, validating, and reconciling data into D365 CE / Dataverse. This role will work with functional and technical teams to ensure migrated data supports business processes and reporting needs.

5+ years of overall experience, with at least 3+ years in D365 CE / Dataverse data migration.

CANDIDATE EXPECTATIONS

Must understand migration complexity beyond simple imports, including relationship handling, incremental loads, mock runs, reconciliation, cutover planning, and data quality issue management.

  • Candidates with hands-on experience using cloud migration and data engineering tools (Azure Data Factory, Databricks) are strongly preferred over those whose experience is limited to SQL-based ETL tools (e.g., Kingsway Soft/KWS).
WHAT YOU'LL OWN
  • Define migration approach and data migration plan.
  • Analyze source data.
  • Create field mapping documents.
  • Perform data cleansing and transformation.
  • Build and execute migration jobs.
  • Load data into Dataverse / D365 CE.
  • Validate migrated records.
  • Support mock migrations, cutover planning, and production migration.
  • Troubleshoot migration errors.
  • Provide reconciliation reports and data quality findings.
WHAT YOU BRING
  • D365 CE / Dataverse data migration experience.
  • Data mapping.
  • Data transformation.
  • Data validation.
  • Dataverse import tools.
  • SQL.
  • Excel-based data analysis.
  • Knowledge of lookup mapping, option sets, GUIDs, relationships, ownership, and security-related migration considerations.
  • Strong preference for hands-on experience with cloud-native migration and data engineering tools, such as Azure Data Factory and Databricks, over traditional SQL-based ETL tools such as Kingsway Soft (KWS).
PREFERRED / ADDED ADVANTAGE
  • Azure Data Factory (preferred over SQL-based ETL tools).
  • Databricks (preferred over SQL-based ETL tools).
  • Power Query.
  • Dataverse Web API.
  • Dataflows.
  • Synapse.
  • SSIS.
  • Kingsway Soft.
  • Experience migrating activities, notes, attachments, cases, accounts, contacts, custom entities, and audit/history data.
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