Senior Data Platform Engineer | AI-Driven Data Pipelines

The Vanguard Group; Malvern (Chester County); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vanguard in Malvern, PA is seeking a senior data/analytics engineer to design and build scalable data platforms, pipelines, and services powering analytics, ML, and AI-enabled solutions. Transform complex datasets into trusted data products with reusable frameworks and APIs.

The role emphasizes performance, security, governance, observability and collaboration with analysts, data scientists, and engineers. The team embraces AI-assisted tooling to raise engineering quality while maintaining

Qualifications

• 8+ years in data/analytics engineering or related field.
• Proven experience designing and implementing scalable data pipelines and cloud-based data platforms.
• Strong SQL, data modeling, and database technologies.
• Programming skills in Python and at least one similar language (Scala/Java).
• Experience with AWS, Azure, or GCP and modern data tools (Spark, Databricks, Snowflake, Kafka).
• Understanding of data quality, governance, observability, and security best practices.

Responsibilities

• Design and build scalable data pipelines and platforms for analytics, ML, and AI workloads.
• Improve platform performance, reliability, and security with robust monitoring and observability.
• Collaborate with analysts, data scientists, and engineers to translate business needs into scalable architectures.
• Lead initiatives from design through deployment and operational support.

Skills

8+ years experience

SQL

Python

Cloud Platforms

Spark/Databricks

Data Modeling

Data Governance

Tools

Databricks

Snowflake

Kafka

Hadoop

Job description

Vanguard in Malvern, PA is seeking a senior data/analytics engineer to design and build scalable data platforms, pipelines, and services powering analytics, ML, and AI-enabled solutions. Transform complex datasets into trusted data products with reusable frameworks and APIs.

The role emphasizes performance, security, governance, observability and collaboration with analysts, data scientists, and engineers. The team embraces AI-assisted tooling to raise engineering quality while maintaining