{"schemaVersion":"jobsearcher.job.v1","id":"4d2a9cc082c01148e645a3be","url":"https://jobsearcher.com/jobs/4d2a9cc082c01148e645a3be","canonicalUrl":"https://jobsearcher.com/jobs/4d2a9cc082c01148e645a3be","title":"Program Level _ Data Engineer - Lead (Tower)","description":"Job Description Program Level _ Data Engineer - Lead (Tower). This role requires coordination between onshore, nearshore, and offshore teams.\r\nRequired Skills Strong experience with Databricks, Apache Spark, and performance tuning.\r\nExpertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.\r\nDeep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.\r\nExperience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.\r\nStrong platform management, monitoring, and incident management experience.\r\nExcellent leadership and stakeholder management skills.\r\nPreferred Domain Experience Asset Management\r\nInvestment Management\r\nCapital Markets\r\nPortfolio & Market Data Platforms\r\nJob 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.\r\nKey Responsibilities\r\nLead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.\r\nOwn end-to-end data platform delivery, operational excellence, and SLA adherence.\r\nDrive scalable data pipeline development, data quality, and platform reliability.\r\nManage cross-functional dependencies, stakeholder communication, and issue escalations.\r\nEnsure high availability, monitoring, alerting, and production support readiness.\r\nCollaborate with business, portfolio management, and technology leadership teams.\r\nDefine and implement best practices for platform governance, operational readiness, and performance optimization.\r\nSalary Range- $110,000-$150,000 a year\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:49:48.190Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Program Level _ Data Engineer - Lead (Tower)","description":"Job Description Program Level _ Data Engineer - Lead (Tower). This role requires coordination between onshore, nearshore, and offshore teams.\r\nRequired Skills Strong experience with Databricks, Apache Spark, and performance tuning.\r\nExpertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.\r\nDeep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.\r\nExperience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.\r\nStrong platform management, monitoring, and incident management experience.\r\nExcellent leadership and stakeholder management skills.\r\nPreferred Domain Experience Asset Management\r\nInvestment Management\r\nCapital Markets\r\nPortfolio & Market Data Platforms\r\nJob 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.\r\nKey Responsibilities\r\nLead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.\r\nOwn end-to-end data platform delivery, operational excellence, and SLA adherence.\r\nDrive scalable data pipeline development, data quality, and platform reliability.\r\nManage cross-functional dependencies, stakeholder communication, and issue escalations.\r\nEnsure high availability, monitoring, alerting, and production support readiness.\r\nCollaborate with business, portfolio management, and technology leadership teams.\r\nDefine and implement best practices for platform governance, operational readiness, and performance optimization.\r\nSalary Range- $110,000-$150,000 a year\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:49:48.190Z","dateModified":"2026-08-08T01:49:48.190Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4d2a9cc082c01148e645a3be"},"url":"https://jobsearcher.com/jobs/4d2a9cc082c01148e645a3be"}}