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About the Role

Schwab is seeking a results-driven, strategic data engineering leader to advance our enterprise data platform. This role involves leading the design, development, and continuous improvement of scalable data solutions for critical business functions. You will translate complex requirements into actionable data solutions, drive measurable outcomes, and guide a team of engineers. This is an opportunity to shape Schwab’s data ecosystem, building resilient and efficient solutions.

Responsibilities

Lead the design, development, and continuous improvement of high-performance, scalable data solutions.
Translate complex requirements into actionable data solutions.
Drive measurable outcomes such as improved system stability, faster time to market, and stronger data quality and governance.
Guide and mentor a team of engineers, fostering a culture of accountability, collaboration, and continuous improvement.
Partner closely with product owners, developers, and cross-functional stakeholders to prioritize work, decompose complex initiatives, and ensure aligned, high-quality delivery.
Strengthen operational intelligence through the firm’s data exchange platform.
Drive innovation across data pipelines, enabling automation, and supporting enterprise-wide data accessibility.

Requirements

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.
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.
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.

Skills

Data Engineering
SQL
Python
Google Cloud Platform (GCP)
BigQuery
Dataflow
Cloud Storage
Composer
Pub/Sub
Informatica
SQL Server Integration Services (SSIS)
Data Architecture
Data Modeling
Data Quality Frameworks
ETL Development
Data Warehouse Concepts
Star Schema
Slowly Changing Dimensions
Fact/Dimension Modeling
Data Lifecycle Management
Metadata Management
Data Governance
Data Security Controls
Access Management
Problem-Solving
Communication
Leadership
Mentoring
Workday
BMC Remedy Helix
Jira
Rally
Kafka
Data Visualization
Reporting
GitHub
Bamboo
Liquibase
Cloud-Native Data Engineering

Location

On-site

Work Type

On-site

Experience Level

12+ years of data engineering experience
7+ years of experience leading strategic projects
5+ years of experience within financial services or a regulated industry
Proven leadership experience

Education Level

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

Salary/Compensations

Bonus or incentive opportunities

About the Company

At Schwab, you’re empowered to make an impact on your career.
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.