3 days ago
Pune, India or Bengaluru, IndiaStaff+
Responsibilities
- Define target-state enterprise data architectures and modernization roadmaps for cloud transformation programs.
- Assess DB2, IMS DB, FOCUS, VSAM, and other legacy mainframe data environments and establish migration standards and frameworks.
- Design migration strategies from hierarchical and relational databases to modern relational, NoSQL, and cloud-native database services.
- Lead database decomposition, domain separation, schema transformation, data model redesign, metadata management, and data quality initiatives.
- Architect high-volume, near-zero-downtime migrations, migration waves, coexistence architectures, synchronization, and cutover strategies.
- Implement or govern Change Data Capture and real-time data synchronization mechanisms.
- Establish standards for data governance, lineage, traceability, security, compliance, privacy, performance, scalability, backup, and disaster recovery.
- Conduct architecture reviews, approve transformation designs, mentor engineering and migration teams, and advise executive stakeholders.
Requirements
- 15+ years of experience in data and database architecture, including 7+ years leading enterprise-scale database migration, modernization, synchronization, and coexistence programs from mainframe environments.
- Deep expertise in IBM DB2, IMS DB, FOCUS, VSAM, legacy mainframe data architectures, and mainframe data modeling.
- Strong proficiency with PostgreSQL, Oracle, Microsoft SQL Server, MySQL, MongoDB, DynamoDB, Cassandra, Cosmos DB, and cloud-native database services.
- Hands-on experience with data modeling, schema transformation, ETL/ELT design, Change Data Capture, data synchronization, and data migration frameworks.
- Experience establishing enterprise data quality management and data governance frameworks.
- Expertise in enterprise data architecture, high availability, disaster recovery, database security, performance engineering, and capacity planning.
- Demonstrated success designing and delivering high-volume migration solutions and complex cutover plans.
- Experience with hierarchical-to-relational transformation, database decomposition, relational-to-NoSQL architecture decisions, mainframe data encoding and structure transformation, and EBCDIC-to-ASCII/Unicode conversion.
- Experience with multi-wave migrations, near-zero-downtime cutovers, parallel-run and synchronization models, data reconciliation, validation frameworks, hybrid data architecture, lineage, impact analysis, and migration risk mitigation.
- Experience governing enterprise-wide modernization programs in banking, insurance, retail, or healthcare is preferred.
- Experience with cloud database platforms on AWS, Azure, or Google Cloud and exposure to AI-assisted modernization and automated schema transformation tools are preferred.
- Strong collaboration, mentoring, architecture governance, and executive stakeholder advisory experience.
Benefits
- Hybrid-friendly work culture with employee well-being programs supporting financial, mental, physical, and social health.
- Career development through certifications with Microsoft, Google, and Amazon, coaching, hands-on experience, personalized development goals, and continuous feedback.
- Learning opportunities and the ability to specialize across major technology platforms.
- Inclusive culture focused on belonging, empathy, professional growth, and shared success.
Tech Stack
Amazon DynamoDBApache CassandraAWSAzureGoogle CloudIBM DB2Microsoft SQL ServerMongoDBMySQLPostgreSQL
Categories
Data Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.