Data Engineering Lead

About the role

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.

Responsibilities

• 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.
• Translate 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.
• 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.
• Navigate ambiguity, make informed decisions, and proactively identify risks and dependencies to keep projects on track.
• Strengthen operational intelligence through the firm’s data exchange platform, drive innovation across data pipelines, enable automation, and support enterprise-wide data accessibility.
• 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.

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, 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.
• Prominent 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.

Qualifications

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

Skills

• 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.

Benefits

• 401(k) with company match and Employee stock purchase plan.
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions.
• Paid parental leave and family building benefits.
• Tuition reimbursement.
• Health, dental, and vision insurance.