Tech Lead – Data Engineer - Assets and Cash Flow

Vanguard • Malvern, PA

1d • Hybrid

About The Position

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. 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. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

Requirements

• 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.

Nice To Haves

• Operating Iceberg with query engines (Athena/Trino/Presto/Spark) and catalog integrations (Glue/HMS).
• Experience in financial services or similarly regulated industries.

Responsibilities

• Function as a critical liaison with Finance and Technology teams
• Engage with clients across the enterprise
• Set engineering standards
• Mentor and develop junior developers
• Drive the roadmap for data ingestion, transformation, and consumption across batch and event-driven pipelines
• Lead Assets and Cashflow Program
• Lead end-to-end architecture and delivery of data pipelines

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level