# Manager, Data Engineering at Vanguard

Vanguard is hiring a Manager, Data Engineering in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/9a904c6c-cac9-4252-b951-8c1aea659eb5?utm_medium=ai-agent).

AI Level 1, AI centrality 30 out of 100. Hyderabad, India.

## Details

- Company: [Vanguard](https://jobsbylevel.com/companies/vanguard)
- AI level: AI Level 1 (score 30 out of 100)
- Location: Hyderabad, India
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/9a904c6c-cac9-4252-b951-8c1aea659eb5?utm_medium=ai-agent

## Prepare for this job

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## Description

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 Manager, Data Engineering is responsible for leading a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure. This role focuses on enabling high-performance data workflows, ensuring seamless data integration and driving automation to enhance data accessibility. Responsibilities Lead, coach, and develop a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Define and execute data engineering strategy, architecture, and roadmaps aligned with business and enterprise data objectives. Design, build, and maintain scalable data pipelines, integration frameworks, and cloud-native data platforms. Drive the development of data warehouses, lakehouse solutions, data products, and analytical platforms that support enterprise reporting and insights. Establish standards for data quality, governance, observability, security, and operational excellence. Partner with data science, analytics, product, and business teams to deliver reliable and scalable data solutions. Ensure data platforms are secure, resilient, performant, and compliant with enterprise technology standards. Champion automation, DevOps practices, and modern engineering methodologies to improve delivery efficiency and reliability. Provide technical leadership for evaluating and adopting emerging technologies and data engineering best practices. Manage delivery planning, stakeholder communications, risk management, and execution of strategic data initiatives. Qualifications and Skills Minimum 8 years of relevant work experience, with at least 5 years in a leadership role managing data engineering teams and large-scale data infrastructure. Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, or a related field or Diploma in Data Science/Data Engineering. Proven experience designing and delivering enterprise-scale data platforms and data products. Strong expertise in ETL/ELT development, data warehousing, data modeling, and distributed data processing. Hands-on experience with Python, PySpark, SQL, Apache Spark, Kafka, and modern data engineering frameworks. Experience building cloud-native data solutions utilizing AWS and Databricks technologies. Strong understanding of data governance, data quality, security, and operational monitoring. Experience working within Agile delivery models and leading cross-functional technology teams. Excellent communication, stakeholder management, and problem-solving skills. Preferred Qualifications Experience with AWS services including S3, EMR, Glue, Lambda, Kinesis, Athena, and Redshift. Experience with Databricks, Delta Lake, Unity Catalog, and Lakehouse architecture. Knowledge of Data Mesh, Data Products, Semantic Modeling, and Metadata Management. Experience with business intelligence and analytics platforms such as Tableau, Power BI, or Amazon QuickSight. Exposure to AI-enabled data platforms and Agentic AI solutions. Financial services or other regulated industry experience. Experience leading enterprise data transformation initiatives and globally distributed engineering teams Location This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered. Our mission Vanguard adheres to a

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