{"id":179391,"url":"https://alion.io/job/barclays-data-engineering-manager-dba","title":"Data Engineering Manager (DBA)","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":176,"ghost_share":0,"stale_share":0.369,"repost_share":0.102,"time_to_fill_p50_days":16,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"PCI DSS","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-08-03T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-27T19:24:46Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":85},"description":"Job Description\nPurpose of the role\nTo 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.\nAccountabilities\nBuild and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.\nDesign and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.\nDevelopment of processing and analysis algorithms fit for the intended data complexity and volumes.\nCollaboration with data scientist to build and deploy machine learning models.\nVice President Expectations\nTo 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..\nIf 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..\nIf 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..\nOR 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..\nAdvise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.\nManage and mitigate risks through assessment, in support of the control and governance agenda.\nDemonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.\nDemonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.\nCreate 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.\nAdopt and include the outcomes of extensive research in problem solving processes.\nSeek 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.\nAll 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.\nJoin 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.\nTo be successful as a Data Engineering Manager (DBA), you should have experience with:\nDeep expertise in:\nRAC, ASM\n\nData Guard, GoldenGate\n\nRMAN backup/recovery\n\nStrong SQL and PL/SQL skills\n\nOCI Cloud Expertise\n\nHands-on experience designing and managing:\n\nOCI database services (DB Systems, Autonomous DB, Exadata)\n\nOCI Networking (VCN, DRG, Load Balancers)\n\nIAM and security models\n\nExperience with multi-region and hybrid cloud setups\n\nArchitecture & Strategy\nDefine and lead database architecture strategy across on-prem and OCI environments\n\nDesign high availability, disaster recovery, and multi-region architectures\n\nDrive cloud adoption and migration strategy (on-prem → OCI)\n\nEstablish database standards, best practices, and governance frameworks\n\nOCI Cloud Leadership\n\nArchitect and manage:\nOCI DB Systems (Bare Metal / VM DB)\n\nAutonomous Databases (ATP, ADW)\n\nExadata Cloud Service (preferred)\n\nLead OCI landing zone design (networking, IAM, security architecture)\n\nOptimize cost, performance, and scalability in OCI environments\n\nDrive adoption of Infrastructure as Code (IaC) using Terraform/OCI Resource Manager\n\nPerformance & Scalability\nLead advanced performance tuning and capacity planning\n\nAnalyze AWR, ASH, ADDM reports for deep insights\n\nDesign systems for high throughput, low latency, and scalability\n\nImplement partitioning, sharding, indexing, and workload management\n\nHigh Availability & DR\n\nArchitect and manage:\nOracle RAC\n\nData Guard (Active Data Guard)\n\nGoldenGate replication\n\nDesign zero/near-zero downtime architectures\n\nConduct DR drills, failover/failback testing\n\nAutomation & Engineering Mindset\n\nDrive automation-first DBA practices\n\nBuild frameworks using:\n\nShell scripting / Python\n\nOCI CLI / SDK\n\nTerraform / Ansible\n\nStrong scripting experience (Python, Shell)\n\nExpertise in:\nTerraform / OCI Resource Manager\n\nCI/CD pipelines (Azure DevOps, Jenkins, etc.)\n\nGit-based workflows\n\nIntegrate database deployments into CI/CD pipelines\n\nIntroduce self-healing and auto-scaling mechanisms\n\nMigration & Modernization\nLead large-scale database migrations using:\n\nRMAN / Data Pump\n\nOCI Database Migration Service\n\nGoldenGate\n\nModernize legacy databases to:\nAutonomous DB\n\nCloud-native architectures\n\nSecurity & Compliance\n\nDefine and enforce enterprise-grade security architecture\n\nImplement:\nTDE (Transparent Data Encryption)\n\nData masking, auditing, and access control\n\nEnsure compliance with standards (e.g., GDPR, PCI-DSS where applicable)\n\nOther essential responsibilities:\n\nAct as technical authority and escalation point for complex issues\n\nMentor junior DBAs and lead cross-functional teams\n\nCollaborate with enterprise architects, DevOps, and application teams\n\nInfluence roadmaps and strategic decisions at leadership level\n\nEnterprise-level OCI database architecture blueprint\n\nMigration roadmap and execution plan\n\nAutomated DBA frameworks (IaC + CI/CD)\n\nHA/DR design with tested failover scenarios\n\nPerformance benchmarking and optimization reports\n\nYou 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.\nThis role is based out of Bengaluru.","description_format":"text","description_chars":7499,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial 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