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The Opportunity
About the Role
We are looking for an Enterprise Data Migration Architect with deep, hands-on expertise in large-scale data migrations and modern cloud data platforms. This is a senior technical leadership role within our Insurance P&C data transformation program, responsible for architecting and owning the end-to-end migration of legacy data systems to a modern cloud-native ecosystem on AWS.
You will work at the intersection of architecture, delivery, and governance — defining migration strategies, leading technical execution, and driving outcomes that directly impact business operations. This is a production delivery role, not advisory or POC-only.
What You Will Do
Data Migration Architecture & Leadership
• Own end-to-end design and execution of enterprise data migrations from legacy platforms (Oracle, SQL Server, DB2, AS400/Mainframe, PostgreSQL, MySQL) to modern cloud targets on AWS
• Define and govern migration strategy including data mapping, transformation logic, reconciliation frameworks, cutover planning, rollback procedures, and performance tuning
• Lead large-scale incremental and CDC-based migration pipelines ensuring zero-loss data fidelity
• Drive validation, quality assurance, and sign-off processes across source and target systems
Cloud Data Platform & Architecture
• Design and implement scalable data architectures on AWS — leveraging Databricks or Snowflake as the primary analytical platform
• Build and optimize ETL/ELT pipelines using AWS-native services: S3, Glue, DMS, Lambda, Redshift, EMR
• Architect Lakehouse, Data Vault, Star Schema, and Dimensional models aligned to Insurance P&C business domains
• Optimize Spark workloads for cost, performance, and reliability in production environments
Governance, Observability & Security
• Implement data lineage, observability, and data quality frameworks throughout the migration lifecycle
• Define and enforce data security, access controls, and compliance standards aligned with Insurance regulatory requirements
• Drive cloud cost optimization strategies across data services
Stakeholder Management & Delivery Governance
• Partner with business, product, and engineering stakeholders to define scope, priorities, and delivery milestones
• Communicate architecture decisions, risks, and migration status to senior leadership and client stakeholders
• Lead and mentor cross-functional engineering teams through complex delivery programs
Non-Negotiable Requirements
Candidates must demonstrate all of the following to be considered.
Area Requirement
Experience 10+ years in enterprise data architecture and large-scale data migration programs
Vertical Insurance P&C domain experience — mandatory
Migration Depth Proven E2E migrations: mapping, reconciliation, validation, cutover, rollback, and performance tuning
Modern Platform Strong hands-on expertise in Databricks or Snowflake
Cloud Strong exposure to Amazon Web Services and its database/analytics services
Production Delivery Real production migration experience — not only POC or support roles
Technical Skills
Languages & Frameworks
• Strong SQL, Python or Scala, PySpark
• Spark optimization for production-scale workloads
ETL/ELT & Pipelines
• AWS Glue, ADF, Informatica, dbt, or equivalent
• CDC / incremental load patterns, reconciliation and validation frameworks
AWS Services
• S3, Glue, DMS, Lambda, Redshift, EMR — hands-on experience preferred
Legacy Databases
• Oracle, SQL Server, DB2, PostgreSQL, MySQL — working knowledge required
• AS400 / Mainframe familiarity preferred
Data Architecture Patterns
• Star Schema, Dimensional Modeling, Data Vault
• Lakehouse / Medallion Architecture
• Cutover planning, rollback strategy, data validation at scale
Governance & Security
• Data lineage, metadata management, observability tooling
• Cloud cost optimization, security controls, and access governance
Nice to Have
• Experience with Purview, Collibra, or equivalent data catalog / governance tooling
• Familiarity with Insurance regulatory data requirements (IRDAI or equivalent)
• CI/CD and DataOps practices — Azure DevOps, Jenkins, or similar
Why This Role
• Lead one of the largest Insurance P&C data transformation programs in the region
• Work with a modern tech stack — Databricks, Snowflake, AWS — at enterprise scale
• Direct influence over architecture decisions from day one
• Collaborative, delivery-focused culture with senior engineering and business stakeholders
What you'll do
- Architect and lead enterprise-wide data migration programs from Oracle, SQL Server, DB2, AS400/Mainframe, PostgreSQL, and MySQL to AWS.
- Define migration strategies including data mapping, transformation, reconciliation, validation, cutover, and rollback planning.
- Design cloud-native data platforms using AWS, Databricks, and Snowflake.
- Build and optimize ETL/ELT pipelines using AWS Glue, DMS, Lambda, Redshift, EMR, and Spark.
- Implement data quality, lineage, governance, observability, and security frameworks.
- Lead technical teams and collaborate with business stakeholders to ensure successful migration delivery.
- Drive performance optimization, cost efficiency, and compliance within insurance data environments.
What you'll bring
- Deep expertise in enterprise data architecture and cloud data transformation.
- Proven ability to lead complex data migration programs from strategy through production deployment.
- Strong hands-on experience with Databricks, Snowflake, AWS, Spark, and large-scale data processing.
- Strong stakeholder management and technical leadership capabilities.
- Experience working in highly regulated Insurance P&C environments.
- Ability to mentor engineering teams and influence architecture decisions at enterprise level.
AI Fluency Expected
Good to Have
- AS400/Mainframe migration experience.
- Informatica, dbt, ADF experience.
- Purview, Collibra, or other Data Governance tools.
- Insurance regulatory compliance knowledge (IRDAI or equivalent).
- CI/CD and DataOps experience (Azure DevOps, Jenkins).
- Experience managing large transformation programs across multiple business units.
Non-Negotiable Skills
Domain & Experience
- 10+ years of enterprise data architecture and data migration experience.
- Mandatory Insurance P&C domain experience.
- Proven end-to-end migration delivery experience.
- Production migration experience (not limited to PoCs or support roles).
Cloud & Data Platforms
- AWS (S3, Glue, DMS, Lambda, Redshift, EMR).
- Databricks and/or Snowflake expertise.
- Modern cloud data architecture and Lakehouse implementation.
Data Migration
- Data Mapping & Transformation.
- CDC (Change Data Capture) and Incremental Loads.
- Data Reconciliation & Validation Frameworks.
- Cutover & Rollback Planning.
- Performance Tuning and Optimization.
Technical Skills
- Strong SQL.
- Python or Scala.
- PySpark and Spark Optimization.
- ETL/ELT development.
Data Modeling
- Star Schema.
- Dimensional Modeling.
- Data Vault.
- Lakehouse / Medallion Architecture.
Governance & Security
- Data Lineage & Metadata Management.
- Data Quality & Observability.
- Security Controls & Access Governance.
- Cloud Cost Optimization.
Ready to make an impact?
Submit your application today and join the Myridius team.