3 days ago
Pune, India or Bengaluru, IndiaStaff+
Responsibilities
- Define target-state enterprise data architectures, modernization roadmaps, migration standards, and target platform selections.
- Assess and transform legacy DB2, IMS DB, FOCUS, and VSAM data environments into modern relational, NoSQL, and cloud-native database platforms.
- Design database decomposition, domain separation, schema transformation, data model redesign, and data migration strategies.
- Architect high-volume, near-zero-downtime migrations, migration waves, coexistence architectures, cutovers, Change Data Capture, and real-time synchronization.
- Establish enterprise standards for data modeling, lineage, metadata, traceability, data quality, security, privacy, compliance, performance, scalability, backup, and disaster recovery.
- Provide architecture oversight, conduct reviews, approve transformation designs, mentor technical 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 with 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, including lineage, metadata, security, privacy, and regulatory compliance.
- Expertise in high availability, disaster recovery, database security, performance engineering, capacity planning, and complex high-volume cutover plans.
- Preferred qualifications include enterprise migration frameworks and review boards, hybrid and multi-cloud data ecosystems, executive stakeholder influence, reconciliation and validation across hybrid environments, and governance of regulated enterprise modernization programs.
- Preferred experience includes hierarchical-to-relational transformation, relational-to-NoSQL architecture, EBCDIC-to-ASCII/Unicode conversion, AWS, Azure, or Google Cloud database platforms, and AI-assisted modernization tools.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Professional development through certifications with Microsoft, Google, and Amazon, coaching, hands-on learning, personalized development goals, and continuous feedback.
- Opportunities to work on mission-critical modernization projects and develop specialized technical skills.
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.