Database Architect

The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world's current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies. Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world's growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all. about the position Chevron ENGINE has an exciting opportunity for an early career Database Architect to join the Operations team. Reporting to the Team Lead this role will be based in Chevron's office in Bengaluru We are seeking a highly skilled and forward-thinking Database Architect to design, implement, and manage enterprise-grade database solutions across both Azure Cloud and on-premises infrastructure. The ideal candidate will have deep expertise in relational, NoSQL, graph, vector databases & related tools, and will play a key role in shaping the data strategy, ensuring scalability, performance, and security across all platforms. Chevron ENGINE supports global operations, and work hours are aligned to business needs. Standard working hours are 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM, Monday to Friday. These may evolve based on operational or business requirements. Key responsibilities Architecture & Design - Design and implement scalable, secure, and high-performance database solutions across Azure and on-premises environments. - Develop data models and schemas for structured and unstructured data. - Architect hybrid data solutions integrating cloud-native services with legacy systems. Database Technologies - Lead implementation and optimization of databases including: - Relational: SQL Server, PostgreSQL, Oracle - Cloud-native: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure Virtual Machines (IaaS), Cosmos DB - Graph: Neo4j, Azure Cosmos DB (Gremlin API) - Vector: Milvus, Azure AI Search (vector capabilities) Migration & Modernization - Lead end-to-end migration of on-premises databases to Azure, including assessment, planning, execution, and validation. - Modernize legacy database platforms using Azure-native services such as Azure SQL, Cosmos DB, and Azure Synapse. - Utilize tools like Azure Migrate, Data Migration Assistant (DMA), and Database Migration Service (DMS). - Ensure minimal downtime and data integrity during migrations. Azure Arc Integration - Extend Azure management and governance to on-premises and multi-cloud database environments using Azure Arc. - Enable unified policy, security, and monitoring across hybrid data assets. - Deploy and manage Azure-enabled SQL Server and PostgreSQL instances outside Azure using Azure Arc. Azure VMware Solution (AVS) - Architect and manage database workloads within Azure VMware Solution (AVS) environments. - Migrate and optimize SQL Server and other database workloads on AVS using best practices for high availability and performance. - Leverage AVS components such as vSphere, vSAN, NSX-T, and vCenter for hybrid cloud database operations. - Integrate AVS-hosted databases with Azure-native services and ensure compliance with enterprise security standards. Cloud Integration & Monitoring - Leverage Azure services such as Azure Synapse, Azure Data Factory, and Azure Monitor for data orchestration and observability. - Use Kusto Query Language (KQL) to build custom dashboards and reports in Azure Monitor, Log Analytics, and Application Insights. Performance & Optimization - Conduct performance tuning, indexing strategies, and query optimization. - Monitor and troubleshoot database performance across environments. Security & Compliance - Ensure data security, encryption, and compliance with industry standards. - Implement role-based access control and auditing mechanisms. Collaboration & Leadership - Work closely with data engineers, software developers, and DevOps teams. - Provide technical leadership and mentoring to junior database staff.

Chevron is one of the leading energy providers worldwide, involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies. Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world's current and future energy challenges.