Sr Manager, Data Engineering Lead (PL)
Charles Schwab (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 35–55 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and develop a high-performing Data Engineering team focused on building near real-time data pipelines and analytical solutions on Google Cloud.
- Own prioritization, planning, risk management, and delivery of data engineering projects that create customer analytical data assets maximizing business value.
- Drive cross-team collaboration, coaching, and continuous improvement while implementing data quality and metadata strategies.
Minimum Requirements
- 10+ years experience designing and supporting near real-time data pipelines and analytical solutions using GCP, AWS, or Informatica.
- Proficient in Java or Python for streaming analytics with GCP Managed Airflow (Composer) and Dataflow or Apache Airflow and Beam for 10+ years.
- Experience building and leading Data Engineering teams with strong knowledge of data integration technologies and public cloud (Google Cloud preferred).
- Work Experience Required: 10+ years in relevant data engineering roles. Other hard filters: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong operating style in building scalable, pragmatic data pipeline solutions aligned with business strategy and analytics needs.
- Experienced in managing complex, cross-functional projects and fostering engineering excellence with coaching and performance management.
- Ability to influence business and technology stakeholders and to lead adoption of responsible AI and continuous quality improvements.