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BAU_L3 Support_Data Engineer

BAU/L3 Support _ Data Engineer – L3 Support Engineer (Lead)


This role requires coordination between onshore, nearshore, and offshore teams
Required Skills
  • Strong experience with Databricks, Apache Spark, and performance tuning.
  • Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
  • Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
  • Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
  • Strong platform management, monitoring, and incident management experience.
  • Excellent leadership and stakeholder management skills.
Preferred Domain Experience
  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio & Market Data Platforms

Job Summary
We are seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities
  • Lead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.
  • Own end-to-end data platform delivery, operational excellence, and SLA adherence.
  • Drive scalable data pipeline development, data quality, and platform reliability.
  • Manage cross-functional dependencies, stakeholder communication, and issue escalations.
  • Ensure high availability, monitoring, alerting, and production support readiness.
  • Collaborate with business, portfolio management, and technology leadership teams.
Define and implement best practices for platform governance, operational readiness, and performance optimization


Salary Range- $110,000-$150,000 a year
Location
Irvine, CA
Job Function
TECHNOLOGY
Role
Lead
Job Id
417458
Desired Skills
Apache Spark
Salary Range
$110,000-$150,000 a year

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