Senior Data Engineering Leader - Onsite, Cloud & AI Enablement
Charles Schwab
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Benefits offered by this job
Job summary
Charles Schwab is seeking a Senior Manager, Data Engineering in Austin to lead strategy, modernization, and delivery of enterprise data platforms powering analytics and AI-driven insights. You will build scalable, cloud-native data pipelines, establish governance, and guide cross‑functional teams across product, data science, risk, and security.
You will balance leadership with hands‑on technical direction, drive CI/CD practices, and foster a high‑performing team culture while engaging
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 strategy, modernization, and delivery of enterprise data platforms powering analytics and AI insights.
- Shape and scale cloud-native data engineering capabilities with reusable frameworks and automated pipelines.
- Collaborate with product, business, data science, risk, and security teams to translate needs into technical solutions.
- Balance strategic leadership with hands‑on direction to modernize legacy platforms and improve governance.
Skills
Education
Tools
Job description
Charles Schwab is seeking a Senior Manager, Data Engineering in Austin to lead strategy, modernization, and delivery of enterprise data platforms powering analytics and AI-driven insights. You will build scalable, cloud-native data pipelines, establish governance, and guide cross‑functional teams across product, data science, risk, and security.
You will balance leadership with hands‑on technical direction, drive CI/CD practices, and foster a high‑performing team culture while engaging
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