Ravh-IT

Senior Data Engineer - Asset Management

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer - Asset Management in Irvine, CA, requiring 12+ years of experience. Pay rate is W2. Key skills include Databricks, Apache Spark, and Apache Airflow. Experience in Asset Management is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
July 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irvine, CA
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🧠 - Skills detailed
#DevOps #Apache Airflow #Infrastructure as Code (IaC) #Leadership #Scala #Data Quality #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #Monitoring #Apache Spark #Alation #Data Pipeline #Databricks #Airflow #Automation
Role description
Job Title: Data Engineering Tower Lead (Asset Management) Location: Irvine, CA onsite Client need only W2 candidates Job Summary We are seeking an experienced Data Engineering Tower 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. 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 Experience: 12+ Years Location: Client Preference Domain: Asset Management / Investment Management