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 simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Our commitment to you
Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:
Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.
Physical wellness
We're committed to providing benefits that support your physical health and wellness.
Personal wellness
We're committed to providing resources that help support the full scope of your life.
How we work
Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Skills Required
- Minimum 8 years of relevant work experience
- At least 5 years managing data engineering teams and large-scale data infrastructure
- Bachelor's degree in Computer Science, IT, or a related field, or diploma in Data Science or Data Engineering
- Experience designing and delivering enterprise-scale data platforms and data products
- 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 using AWS and Databricks
- Understanding of data governance, data quality, security, and operational monitoring
- Experience with Agile delivery models and leading cross-functional technology teams
- Excellent communication, stakeholder management, and problem-solving skills
- Experience with AWS 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 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
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
-
Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
-
Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
-
Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
