Job description

Position Overview This is a full-time Director of Data Engineering & Architecture opportunity based in Los Angeles, CA with a global enterprise investing in building out a modern data platform on Microsoft Azure. The organization is highly established with a global footprint and is undergoing a large-scale transformation to unlock the power of cloud, data, and analytics across its operations. In this role, you will own and define the data engineering and architecture roadmap while leading a team responsible for delivering scalable, reusable, and trusted data solutions and driving data governance standards across the enterprise. Key Responsibilities • Own and define the overall data engineering & architecture roadmap • Lead a team in delivering scalable, reusable, and trusted data solutions • Build a cutting-edge Azure ecosystem including Data Lake, Synapse, SQL Database, Data Factory, and Databricks • Drive and implement enterprise-wide data governance frameworks and practices • Collaborate cross-functionally with stakeholders to ensure the success of data initiatives Required Qualifications • 15+ years of experience in data and analytics, with at least 10+ years in leading data engineering or architecture initiatives • Proven leadership experience managing data engineering and architecture teams • Strong expertise in cloud-native architectures with Microsoft Azure (Data Lake, Synapse, SQL Database, Data Factory, Databricks) • Hands-on experience with building enterprise data pipelines, data lakes, and data warehouses • Experience implementing data governance frameworks (data quality, metadata, lineage, security) • Strong knowledge of modern data architecture, data modeling, and data management practices • Excellent communication and leadership skills with the ability to engage diverse stakeholders Preferred Qualifications • Advanced degree in Computer Science, Data Engineering, or a related discipline • Familiarity with third-party data sources (financial, ESG, market, or alternative data is a plus) • Experience working in large, complex organizations with cross-functional stakeholders • Exposure to machine learning platforms (Azure ML or similar) • Solid foundation in system design, distributed computing, and modern ETL/ELT practices Benefits & Perks • Bonus Eligible • Medical, Dental, and Vision Insurance • Vacation Time Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Posted By: Casey Ryan

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