Data Engineering Lead

Charles Schwab

Southlake (TX)

On-site

USD 180,000 - 240,000

Full time

6 hours ago

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Job summary

Charles Schwab is seeking a results-driven data engineering leader to advance the enterprise data platform, modernize capabilities, and deliver scalable data solutions powering risk, compliance, and corporate systems.

As a hands-on technical leader, you will mentor engineers, partner with product and cross-functional teams, translate business needs into data solutions, and drive data quality, governance, and secure data access across the firm.

Qualifications

12+ years in data engineering delivering scalable data pipelines.
7+ years leading strategic projects in a matrixed org.
5+ years in financial services or a regulated industry.
Strong data architecture, modeling, quality frameworks, and ETL.
Advanced SQL and Python; cloud tech including GCP services.
Experience with Informatica and SSIS for data integration.
Translate business needs into technical data solutions; lead teams.
Strong data warehouse knowledge: star schema and SCDs.
Data lifecycle, metadata, and governance best practices.
Data security controls and access management.
Excellent written/spoken communication; stakeholder collaboration.
Bachelor's degree in CS/IT or related field.

Responsibilities

Lead design, development, and continuous improvement of enterprise data solutions.
Mentor engineers and foster accountability, collaboration, and improvement.
Partner with product owners and cross-functional teams to prioritize work.
Translate complex requirements into scalable data pipelines and governance.
Strengthen operational intelligence via the data exchange platform.

Skills

Data architecture

Data modeling

ETL development

SQL

Python

Cloud platforms

GCP (BigQuery, Dataflow)

Informatica/SSIS

Leadership

Communication

Problem solving

Data governance

Data security

Education

Bachelor’s degree in Computer Science, IT, or related field

Tools

Informatica

SSIS

Kafka

Workday/Jira/Rally

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab is seeking a results-driven, strategic data engineering leader to help advance our enterprise data platform as we modernize and scale capabilities across the firm. In this role, you will lead the design, development, and continuous improvement of high-performance, scalable data solutions that power critical business functions including risk, compliance, audit, and corporate systems. You will operate at the intersection of technology and business, translating complex requirements into actionable data solutions while driving measurable outcomes such as improved system stability, faster time to market, and stronger data quality and governance.

As a hands‑on technical leader, you will guide and mentor a team of engineers, fostering a culture of accountability, collaboration, and continuous improvement. You will partner closely with product owners, developers, and cross‑functional stakeholders to prioritize work, decompose complex initiatives, and ensure aligned, high-quality delivery. Success in this role requires the ability to navigate ambiguity, make informed decisions, and proactively identify risks and dependencies to keep projects on track.

You will play a key role in strengthening operational intelligence through the firm’s data exchange platform, driving innovation across data pipelines, enabling automation, and supporting enterprise-wide data accessibility. This is an opportunity to shape the future state of Schwab’s data ecosystem—building resilient, efficient, and scalable solutions that enable better business decisions and enhance the client experience.

What you have

Required Qualifications

12+ years of data engineering experience delivering scalable data pipelines, platforms, and solutions

7+ years of experience leading strategic projects and driving delivery in a matrixed organization

5+ years of experience within financial services or a regulated industry

Strong expertise in data architecture, data modeling, data quality frameworks, and ETL development, with a focus on building reliable, high‑performing systems

Advanced proficiency in SQL and Python, with experience leveraging modern data platforms and cloud technologies (e.g., Google Cloud Platform services such as BigQuery, Dataflow, Cloud Storage, Composer, Pub/Sub)

Experience with enterprise data integration tools such as Informatica and SQL Server Integration Services (SSIS)

Demonstrated ability to translate business needs into technical data solutions and guide teams through data analysis and mapping processes

Proven leadership experience building, developing, and mentoring high‑performing engineering teams across varied skill levels

Strong understanding of data warehouse concepts, including star schema, slowly changing dimensions, and fact/dimension modeling

Knowledge of data lifecycle management, metadata management, and data governance best practices

Experience implementing data security controls and access management to protect sensitive information

Strong problem‑solving skills with the ability to assess risks, make data‑driven decisions, and drive resolution

Excellent communication skills, with the ability to effectively influence and collaborate with both technical and non‑technical stakeholders

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)

Preferred Qualifications

Experience working with enterprise systems such as Workday, BMC Remedy Helix, Jira, or Rally

Familiarity with event‑driven and streaming architectures, including tools such as Kafka

Experience with data visualization and reporting tools, including report design and delivery of insights

Proficiency with development and DevOps tools such as GitHub, Bamboo, or Liquibase

Experience in cloud‑native data engineering practices, with a preference for Google Cloud Platform

Demonstrated ability to manage multiple priorities in a fast‑paced, geographically dispersed environment while maintaining strong organizational discipline

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future: