Director of Data Engineering and Architecture / Los Angeles / Fully Remote

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