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Skills

SLA
Management
Operational Excellence
Orchestration
Performance Tuning
Portfolio Management
IT Management
Incident Management
Investment Management
Data Quality
Databricks
DevOps
ELT
Extract, Transform, Load
Communication
Continuous Delivery
Continuous Integration
Apache Airflow
Apache Spark
Asset Management
Collaboration
Regulatory Compliance
Stakeholder Management
Workflow
Data Engineering
Leadership
Production Support
Project Delivery
Scalability

SLA
Management
Operational Excellence
Orchestration
Performance Tuning
Portfolio Management
IT Management
Incident Management
Investment Management
Data Quality
Databricks
DevOps
ELT
Extract, Transform, Load
Communication
Continuous Delivery
Continuous Integration
Apache Airflow
Apache Spark
Asset Management
Collaboration
Regulatory Compliance
Stakeholder Management
Workflow
Data Engineering
Leadership
Production Support
Project Delivery
Scalability

Summary

Job Title: Data Engineering POD Lead

Location: Irvine, CA onsite

Job Summary

We are seeking an experienced Data Engineering POD Lead with a strong background in Asset Management/Investment Management to lead a high-performing data engineering pod. The ideal candidate will be responsible for end-to-end delivery of data solutions, platform reliability, and alignment with business objectives across portfolio, market, and investment data domains.

Key Responsibilities

Lead and manage the Data Engineering POD, ensuring successful project delivery and operational excellence.
Own end-to-end delivery of data engineering initiatives, maintaining SLA compliance and platform performance.
Collaborate with business stakeholders, portfolio management teams, and technology leadership.
Manage cross-team dependencies, risks, and escalations across multiple workstreams.
Design and oversee scalable data pipelines, data quality frameworks, and data platform solutions.
Ensure platform stability, monitoring, incident management, and production support readiness.
Drive best practices for reliability, availability, scalability, and operational governance.

Required Skills

Strong expertise in Databricks, Apache Spark, and performance tuning.
Hands-on experience with Apache Airflow/Astronomer for workflow orchestration and DAG design.
Extensive experience in Data Engineering, ETL/ELT, data quality, and scalable pipeline development.
Strong knowledge of DevOps, CI/CD, Infrastructure as Code (IaC), and automation.
Experience with platform administration, monitoring, alerting, and operational support.
Excellent leadership, stakeholder management, and communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91123050
Position Id: 9023696
Posted 1 day ago

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Shaik Zaffar

Recruiter @ Ravh IT Solutions

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Irvine, California

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Lead Data Engineer

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Shaik Zaffar

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