On-Site Senior Data Engineering 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

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