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Tech Lead - Data Engineer - Assets and Cash Flow

Vanguard

Tech Lead - Data Engineer - Assets and Cash Flow

Vanguard

Malvern, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Remote Work

Healthcare

401k

Flexible Hours

Remote Work

Required Skills

Python

SQL

Data engineering

ETL

AWS

  • Vanguard is seeking a Technical Lead that will function as a critical liaison with Finance and Technology teams and will engage with clients across the enterprise. They will set engineering standards, demonstrate a strong track record of mentoring and developing junior developers, and drive the roadmap for data ingestion, transformation, and consumption across batch and event-driven pipelines.
  • Lead Assets and Cashflow Program
  • Experience leading end-to-end architecture and delivery of data pipelines
  • Senior level experience delivering serverless data solutions with AWS Lambda, Glue, and Step Functions
  • Hands on experience with Apache Iceberg table design and lifecycle
  • Highly knowledgeable on techniques to maximize performance, reliability, and observability.

Qualifications:

  • 8+ years of related data engineering experience with a strong record of leading delivery for production ETL platforms.

  • 5+ years building on AWS with deep expertise in Lambda, Glue, and Step Functions (state machine patterns, error handling, retries, and parallel branches).

  • Strong proficiency in Python and SQL

  • Hands-on experience with batch and event-driven pipelines (e.g., Kinesis/Kafka), S3-based data lakes, and Glue/Athena/EMR integration.

  • Solid understanding of lakehouse architecture, columnar formats (Parquet), and performance tuning (file sizing, predicate pushdown, metadata operations).

  • Familiarity with data quality frameworks, lineage/metadata management, and governance (IAM, Lake Formation, encryption at rest/in transit).

  • Excellent communication skills; able to explain complex technical concepts to non-technical audiences and influence cross-functional decisions.

  • Undergraduate degree or equivalent combination of training and experience; graduate degree preferred.

  • Preferred Experience

  • Operating Iceberg with query engines (Athena/Trino/Presto/Spark) and catalog integrations (Glue/HMS).

  • Experience in financial services or similarly regulated industries.

Special Factors
Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our 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.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit