Data Engineering, Senior Manager

Data Engineering, Senior Manager Charles Schwab 4 ( ) Multiple Locations Why you should apply for a job to

Charles Schwab :

Ranked as one of the 4/5 in overall job satisfaction 67% say women are treated fairly and equally to men 75% would recommend this company to other women 69% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews After 5 years of service at Schwab, employees are eligible for one month of Sabbatical leave. Paid parental leave and reimbursement to help offset adoption or surrogacy expenses for eligible employees. Mentorship program opportunities and competitive tuition reimbursement program to invest in employees' success. # 2026-119058 Position summary ur data engineering vision and deliver high impact solutions in a fastmoving, collaborative environment. You'll partner closely with cross functional stakeholders to turn complex data into reliable, actionable insights that support business growth and customer outcomes. We're looking for a leader who enjoys developing talent, navigating ambiguity, and continuously improving how data is designed, delivered, and used across the organization.

Key Responsibilities:

Lead, coach, and develop a diverse team of software and data engineers, fostering a culture of collaboration, learning, and continuous improvement. The total team includes employees and on employees, upwards of around 40 individuals. Create an environment where engineers can do their best work through clear priorities, meaningful feedback, and growth opportunities Partner with product, architecture, analytics, and business teams to deliver enterprise scale data solutions aligned to business needs Define and advance a clear data engineering strategy that supports organizational goals and longterm scalability Guide the design, development, and optimization of data pipelines, data models, and data architecture for analytics, monitoring, and reporting Balance delivery, quality, and sustainability by managing capacity, timelines, and technical tradeoffs Champion modern data engineering practices, tools, and technologies to improve reliability, performance, and speedtovalue Ensure strong data governance, quality, and reliability standards are embedded into day to day engineering practices Lead teams across a mix of fulltime employees, contractors, offshore partners, and third-party vendors What you have To ensure that we fulfill our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have:

Required Qualifications:

12+ years of experience in data engineering, including 5+ years in people leadership roles with accountability for hiring and onboarding, performance management, talent development, compensation planning, and building high-performing engineering teams. Architected enterprise ETL/ELT frameworks leveraging distributed processing, orchestration, and metadata-driven patterns to enable scalable and reusable data pipelines. Executed complex platform-to-platform data migrations, addressing data modeling differences, performance tuning, backward compatibility, and parallel run strategies. Transitioned monolithic and tightly-coupled legacy data systems to modern, decoupled, and resilient architectures aligned with cloud and data-platform best practices. Hands-on expertise with data integration tools such as Informatica IICS, PowerCenter, or Spring Batch. Strong experience working with relational (Oracle, SQL Server, PostgreSQL, or MySQL) and NoSQL databases (Mongo). Advanced SQL skills and experience with enterprise data modeling. Working knowledge in at least one modern programming language such as Python or Java. Experience building and supporting streaming or event-driven data pipelines (e.g., messaging platforms, Kafka, Pub/Sub). Working knowledge of data governance, data quality, and data lifecycle management practices. Experience enabling analytics and visualization platforms such as Tableau or Power BI through well-designed data models and pipelines. Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.

Shape Preferred Qualifications:

Experience supporting Salesforce platforms from a data ingestion or extraction perspective. Background in financial services or highly regulated environments. Experience designing or operating data platforms in a public cloud environment, such as Google Cloud Platform (GCP). Experience leading or enabling AI-assisted development practices, including code generation, automated testing, pipeline validation, or design acceleration. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship. 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 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 that takes care of the whole you - both today and in the future: 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 Why you should apply for a job to

Charles Schwab :

Ranked as one of the 4/5 in overall job satisfaction 67% say women are treated fairly and equally to men 75% would recommend this company to other women 69% say the CEO supports gender diversity Ratings are based on anonymous reviews by Fairygodboss members. See all reviews After 5 years of service at Schwab, employees are eligible for one month of Sabbatical leave. Paid parental leave and reimbursement to help offset adoption or surrogacy expenses for eligible employees. Mentorship program opportunities and competitive tuition reimbursement program to invest in employees' success.