Data Engineering Lead - Scale Enterprise Data Platforms

Charles Schwab; Austin (TX); On-site; USD 150,000 - 165,000; Full time

Job summary

Charles Schwab in Austin, TX seeks a seasoned data engineering leader to design, develop, and scale data solutions powering risk, compliance, and enterprise systems. You will mentor engineers and drive high-quality delivery across cross-functional teams.

Requires 12+ years in data engineering, SQL/Python mastery, and cloud experience (GCP). Expect collaboration with product owners and a strong focus on governance and security in a on-site work setting.

Qualifications

• 12+ years of data engineering experience delivering scalable data pipelines and platforms.
• Experience leading strategic projects in a matrixed organization.
• Proven ability to translate business needs into technical data solutions.

Responsibilities

• Lead the design, development, and continuous improvement of high-performance, scalable data solutions.
• Mentor and grow a hands-on engineering team across skill levels.
• Partner with product owners, developers, and stakeholders to prioritize work and ensure delivery.
• Strengthen data governance, quality, and security across enterprise data platforms.

Skills

Data engineering

Leadership

SQL

Python

Cloud platforms

ETL development

Education

Bachelor's degree in Computer Science

Tools

BigQuery

Dataflow

SSIS

Informatica

Job description

Charles Schwab in Austin, TX seeks a seasoned data engineering leader to design, develop, and scale data solutions powering risk, compliance, and enterprise systems. You will mentor engineers and drive high-quality delivery across cross-functional teams.

Requires 12+ years in data engineering, SQL/Python mastery, and cloud experience (GCP). Expect collaboration with product owners and a strong focus on governance and security in a on-site work setting.