Data Engineering Senior Team Manager

Charles Schwab Corporation; Austin (TX); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Bonus opportunities

Job summary

Charles Schwab Corporation in Austin is seeking a Senior Manager, Data Engineering to lead strategy, modernization, and delivery of enterprise data platforms powering analytics and AI-driven insights. You will build cloud-native data pipelines, establish reusable frameworks, and partner with product, business, data science, risk, and security teams to translate complex needs into scalable solutions.

The role blends strategic leadership with hands-on direction, emphasizes data governance, CI/CD

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

Responsibilities

• Lead the strategy, modernization, and delivery of enterprise data platforms powering analytics, reporting, and AI-driven insights
• Establish reusable frameworks, automated pipelines, and resilient architectures to improve data quality and governance
• Collaborate with product, business, data science, risk, and security stakeholders to translate business needs into scalable technical solutions
• Build and develop high-performing teams, balancing strategic leadership with hands-on direction while engaging executives on data strategy

Skills

Data engineering leadership

Data architecture

ETL/ELT

Data warehousing

Cloud platforms (Snowflake, BigQuery,G

CI/CD

Agile methodologies

Stakeholder engagement

Executive communication

Hybrid environments

Education

Bachelor’s or Master’s degree in Computer Science/Engineering/Information Systems

Tools

Snowflake

BigQuery

GCP

AWS

Informatica

Talend

IDMC

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 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.