Pay range: USD $170,000.00 - $210,000.00 / Year
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 Technology Services is advancing the next generation of data, analytics, and AI capabilities through modern, cloud-based platforms and scalable engineering solutions. As a Senior Manager, Data Engineering, you will lead the strategy, modernization, and delivery of enterprise data platforms that power analytics, reporting, and AI-driven insights across the firm. This role sits at the center of Schwab's transformation-driving trusted, high-quality data delivery and enabling business teams to make faster, more informed decisions.
You will shape and scale cloud-native data engineering capabilities by establishing reusable frameworks, automated pipelines, and resilient architectures that improve data quality, governance, and operational efficiency. Through close partnership with product, business, data science, risk, and security stakeholders, you will translate complex business needs into sustainable technical solutions that accelerate enterprise outcomes.
Success in this role requires balancing strategic leadership with hands-on technical direction-modernizing legacy platforms, advancing automation and CI/CD practices, and embedding strong data governance, lineage, and compliance standards. You will also build and develop high-performing teams, fostering a culture of accountability, innovation, and continuous improvement while influencing executive stakeholders on data strategy, priorities, and outcomes.
What you have
Required Qualifications
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or related field
- 10+ years of experience in data engineering, data integration, analytics engineering, or related disciplines
- 5+ years of people leadership experience managing engineering teams and enterprise-scale programs
- Deep expertise in data architecture, ETL/ELT frameworks, and data warehousing
- Hands-on experience with cloud data platforms (e.g., Snowflake, BigQuery, GCP, AWS) and enterprise integration tools (e.g., Informatica, Talend, IDMC)
- Experience designing and delivering scalable batch and real-time data pipelines across hybrid environments
- Proven experience implementing data governance, data quality, metadata management, and lineage frameworks
- Demonstrated success leading large-scale modernization, migration, or platform transformation initiatives
- Strong understanding of Agile, DevOps, CI/CD, and automation practices
- Ability to align technical strategy to business outcomes with strong stakeholder engagement and executive communication skills
Preferred Qualifications
- Experience supporting AI/ML platforms, model lifecycle management, or enterprise AI enablement
- Familiarity with tools such as Vertex AI, Dataiku, or MLOps frameworks
- Experience enabling AI-driven or conversational analytics use cases
- Background in financial services or other highly regulated environments
- Experience leading enterprise cloud modernization initiatives
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
What's in it for youAt 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:
- 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
