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# Data Migration Architect

- **Company:** Wise Equation Solutions
- **Location:** Houston, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Cerner, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Loss, Data Warehousing, Relational Databases, Python (Programming Language), NoSQL, Salesforce.Com, SAP (Applications), SAP NetWeaver Data Management, SQL Server Integration Services, Google Cloud, Pyspark, Data Lineage, SAP MDG, Legacy Systems, Databricks, Programming Languages
- **Published:** June 29, 2026
- **Apply:** https://www.dice.com/job-detail/05f98bda-bf1f-4aea-a83b-bfaff7c1f4ae

## About the Role

Technical Expertise: Hands-on proficiency with ETL tools, cloud platforms (AWS, Google Cloud Platform, Azure), and programming languages like Python or PySpark.
Database Management: Deep understanding of relational (RDBMS) and non-relational (NoSQL) databases, and data warehousing concepts.
Domain Knowledge: Specialized expertise in migrating major enterprise platforms such as SAP (e.g., SAP MDG, Syniti), Oracle Health, or Salesforce.
Soft Skills: Exceptional stakeholder management, project risk management, and the ability to convert complex business rules into technical specifications

## Description

Strategic technology leader (8+ years' experience) responsible for planning, designing, and executing the secure transfer of data from legacy systems to Databricks System, Architecture Design: Create high-level blueprints and pipelines (e.g., Medallion Architecture) using enterprise tools like SQL Server SSIS, AWS DMS, or SAP Data Services.
Risk Mitigation: Identify and neutralize vulnerabilities regarding data loss, corruption, and security compliance.
Mapping & Modeling: Define canonical data models, mapping standards, and data lineage frameworks.
Quality Assurance: Design data validation, reconciliation, and audit control mechanisms to guarantee financial and operational accuracy.
Leadership: Lead data engineering teams, collaborate with business stakeholders, and manage post-migration support.


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