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Data Engineering Manager - Vice President

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Hybrid

Data Engineering Manager - Vice President

Think People Solutions

Data Engineering Manager - Vice President

Skills

SQL QueriesData EngineeringPythonOracle DatabaseJenkinsAnsibleOracleComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

12 September 2026

What they need


We are hiring for a Data Engineering Manager Vice President role for a leading organization. The position requires strong Oracle Database, OCI Cloud Architecture, HA/DR, Cloud Migration and DBA Engineering Leadership experience.

Key Skills Required:

  • Oracle Database: RAC, ASM, Data Guard / Active Data Guard, GoldenGate, RMAN.
  • SQL & PL/SQL: Strong hands-on expertise with advanced database performance tuning.
  • OCI Cloud: OCI DB Systems, Autonomous DB (ATP/ADW), Exadata Cloud Service.
  • OCI Architecture: VCN, DRG, Load Balancers, IAM, security and hybrid/multi-region environments.
  • Database Architecture: Enterprise database strategy, HA/DR, scalability and multi-region architecture.
  • Performance Engineering: AWR, ASH, ADDM, capacity planning, partitioning, indexing and workload optimization.
  • Automation & IaC: Terraform, OCI Resource Manager, Ansible, Python/Shell, OCI CLI/SDK.
  • DevOps: CI/CD, Jenkins/Azure DevOps and Git-based database deployment workflows.
  • Migration & Modernization: RMAN, Data Pump, OCI Database Migration Service and GoldenGate; On-Prem to OCI migrations.
  • Security & Compliance: TDE, auditing, data masking, access control and enterprise security frameworks.
  • Leadership: Technical authority, mentoring, cross-functional leadership and collaboration with Enterprise Architecture, DevOps and Application teams.

Role Focus:

  • Lead enterprise-level Oracle & OCI database architecture and strategy
  • Drive cloud adoption, migration and modernization
  • Design and manage HA/DR and near-zero downtime solutions
  • Establish DBA governance, standards and best practices
  • Drive IaC + CI/CD-based database automation
  • Lead performance, scalability and capacity initiatives
  • Provide technical leadership for complex database escalations and strategic decisions

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