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Vanguard

Manages investment funds and retirement savings

Manager Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • A minimum of 8 years of relevant work experience, including at least 5 years in a leadership role managing data engineering teams and large-scale data infrastructure.
  • A Bachelor's degree in Computer Science, IT, or a related field, or a diploma in Data Science/Data Engineering.
  • Proven experience designing and delivering enterprise-scale data platforms and data products.
  • Expertise in extract, transform, and load (ETL)/extract, load, and transform (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 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.

Responsibilities

  • Lead, coach, and develop a high-performing team of data engineers, fostering 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 development of data warehouses, lakehouse solutions, data products, and analytical platforms supporting 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, 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 in evaluating and adopting emerging technologies and data engineering best practices.
  • Manage delivery planning, stakeholder communications, risk management, and execution of strategic data initiatives.

Desired 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.

About the Company

Vanguard

Manages investment funds and retirement savings

Vanguard manages mutual funds, exchange-traded funds, and retirement investments for individuals, financial advisers, and institutions. Its Vanguard 500 Index Fund gives investors exposure to large U.S. companies by tracking the S&P 500, while its lineup also includes actively managed stock and bond funds. Clients invest through brokerage and retirement accounts, workplace plans, or advisers, and advisory services build and maintain portfolios around their goals. Fund expenses and advisory fees pay for investment management and account services, with advisory charges based on the assets managed. Founded in 1975, Vanguard is headquartered in Malvern, Pennsylvania, United States.

Company size
10,001+
Company stage
Debt Financing
Total funding
$4B
Headquarters
Malvern, PA
Founded
1975

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