Data Engineering Manager (DBA)

Job description

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Data Engineering Manager (DBA) at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data Engineering Manager (DBA) , you should have experience with: Deep expertise in: RAC, ASM Data Guard, GoldenGate RMAN backup/recovery Strong SQL and PL/SQL skills OCI Cloud Expertise Hands-on experience designing and managing: OCI database services (DB Systems, Autonomous DB, Exadata) OCI Networking (VCN, DRG, Load Balancers) IAM and security models Experience with multi-region and hybrid cloud setups Architecture & Strategy Define and lead database architecture strategy across on-prem and OCI environments Design high availability, disaster recovery, and multi-region architectures Drive cloud adoption and migration strategy (on-prem → OCI) Establish database standards, best practices, and governance frameworks OCI Cloud Leadership Architect and manage: OCI DB Systems (Bare Metal / VM DB) Autonomous Databases (ATP, ADW) Exadata Cloud Service (preferred) Lead OCI landing zone design (networking, IAM, security architecture) Optimize cost, performance, and scalability in OCI environments Drive adoption of Infrastructure as Code (IaC) using Terraform/OCI Resource Manager Performance & Scalability Lead advanced performance tuning and capacity planning Analyze AWR, ASH, ADDM reports for deep insights Design systems for high throughput, low latency, and scalability Implement partitioning, sharding, indexing, and workload management High Availability & DR Architect and manage: Oracle RAC Data Guard (Active Data Guard) GoldenGate replication Design zero/near-zero downtime architectures Conduct DR drills, failover/failback testing Automation & Engineering Mindset Drive automation-first DBA practices Build frameworks using: Shell scripting / Python OCI CLI / SDK Terraform / Ansible Strong scripting experience (Python, Shell) Expertise in: Terraform / OCI Resource Manager CI/CD pipelines (Azure DevOps, Jenkins, etc.) Git-based workflows Integrate database deployments into CI/CD pipelines Introduce self-healing and auto-scaling mechanisms Migration & Modernization Lead large-scale database migrations using: RMAN / Data Pump OCI Database Migration Service GoldenGate Modernize legacy databases to: Autonomous DB Cloud-native architectures Security & Compliance Define and enforce enterprise-grade security architecture Implement: TDE (Transparent Data Encryption) Data masking, auditing, and access control Ensure compliance with standards (e.g., GDPR, PCI-DSS where applicable) Other essential responsibilities: Act as technical authority and escalation point for complex issues Mentor junior DBAs and lead cross-functional teams Collaborate with enterprise architects, DevOps, and application teams Influence roadmaps and strategic decisions at leadership level Enterprise-level OCI database architecture blueprint Migration roadmap and execution plan Automated DBA frameworks (IaC + CI/CD) HA/DR design with tested failover scenarios Performance benchmarking and optimization reports You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Bengaluru.