Data/AI Engineer (Databricks, AWS, Python, AI))

Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data.

About Vanguard Founded in 1975, Vanguard is one of the world’s leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

Vanguard India Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary The Data/AI Engineer is responsible for designing, developing, enhancing, and supporting scalable cloud-based data pipelines, data products, and data-driven applications. This is a hands-on engineering role requiring strong technical expertise in modern data engineering technologies, problem-solving abilities, and a product mindset to deliver reliable, secure, and high-quality data solutions.

The role requires the ability to work independently on assigned initiatives while collaborating closely with Technical Leads, Product Owners, Architects, Analysts, and other Engineering teams. The individual will contribute to the design, development, deployment, enhancement, and operational support of modern data platforms and data products that enable business outcomes and data-driven decision making.

In addition to delivering new capabilities, the Data/AI Engineer will be responsible for supporting existing data products and applications, performing production support activities, troubleshooting incidents, implementing enhancements, and driving continuous improvement. The individual is expected to take ownership of assigned deliverables from development through production support while seeking guidance from the Technical Lead for complex technical, architectural, or cross-functional decisions.

Responsibilities

• Build and optimize data ingestion, transformation, integration, and storage solutions supporting analytical and operational workloads.
• Design, develop, test, and maintain scalable batch and real-time data pipelines, data products, and cloud-based data solutions.
• Own assigned deliverables from design through deployment, ensuring quality, reliability, performance, security, and maintainability.
• Collaborate with Technical Leads, Product Owners, Architects, Analysts, and Engineering teams to translate business requirements into technical solutions.
• Implement data quality controls, monitoring, observability, automation, and CI/CD practices to improve platform reliability and engineering productivity.
• Support and enhance business-critical data products, applications, and platforms through defect resolution, performance improvements, and continuous modernization initiatives.
• Troubleshoot production issues, perform root-cause analysis, implement preventive actions, and contribute to operational excellence.
• Participate in application-support activities, release support, and production operations, including flexible working hours when required to support critical deliverables, production incidents, business commitments, or global stakeholders.
• Contribute to technical documentation, reusable components, engineering standards, and AI-assisted development practices that improve quality and delivery efficiency.
• Proactively identify risks, dependencies, and improvement opportunities while working independently with guidance from the Technical Lead when required.

Qualifications And Skills

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Computer Applications, or a related discipline from a recognized institution.
• Minimum of 5 years of relevant experience with the majority of experience focused on Data Engineering.
• Hands-on experience designing, developing, and supporting scalable data pipelines, ETL/ELT frameworks, and cloud-based data solutions.
• Experience delivering data engineering solutions in cloud environments and Agile product teams….