Senior Data Architect

Job Title: Data Engineering Location: Irvine, CA Onsite This is W2 Requirement 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. Preferred Domain Experience • Asset Management • Investment Management • Capital Markets • Portfolio & Investment Data Platforms • Market Data, Security Master, Risk & Performance Analytics • • Domain: Asset Management / Investment Management • Role: Data Engineering POD Lead • Key Technologies: Databricks, Spark, Airflow/Astronomer, CI/CD, DevOps, Data Engineering, Platform Management, Cloud Technologies.