Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 8 and day 57.
From 9,462 similar postings that came down. Coming down is not always a hire.
Manager, Data Engineering
Reads like a Data Leadership role: running a data team.
Hyderabad, India
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingThe Manager, Data Engineering is responsible for leading a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure.
Lead, coach and develop a team of data engineers
Design, build and maintain scalable data pipelines and cloud-native data platforms
Drive development of warehouses, lakehouse solutions and data products
Set standards for data quality, governance, observability and security
Define data engineering strategy, architecture and roadmaps
From the employer’s posting
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.
Lead, coach, and develop a high-performing team of data engineers
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
Establish standards for data quality, governance, observability, security, and operational excellence.
Define and execute data engineering strategy, architecture, and roadmaps
What you’ll bring
All qualificationsPreferred experience
- 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.
Qualification wording
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.
Education & alternatives
- 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.
About Vanguard
We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Oct 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Vanguard is hiring
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Delta Lake
- Kafka
- Power BI
- Redshift
- S3
- Spark
- Tableau
- PySpark
Where the posting names them
- 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.
- 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.
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.
- 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.
- 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.
Your next step
Complete your application on vanguard.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Vanguard posted this job before?
Yes. We’ve followed one other Manager, Data Engineering job there since November 2026. It came down after 2 days.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job 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 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, India
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.