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 that is 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. The standout feature of this role is the opportunity to own and define the data engineering and architecture roadmap from end to end. You’ll be leading a team responsible for delivering scalable, reusable, and trusted data solutions, building a cutting-edge Azure ecosystem, and driving data governance standards across the enterprise. This position is ideal for a senior leader who thrives in shaping large-scale, complex data strategies while guiding best practices and innovation.

Key Responsibilities

• Azure Data Engineering & Architecture
• Governance & Data Strategy
• Team Leadership & Roadmap Execution
• Hands-On Technical Oversight & Solution Design
• Cross-Functional Collaboration with Stakeholders

Required Qualifications

• 15+ years of experience in data and analytics, with at least 10+ years 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 ability to engage diverse stakeholders

Preferred Qualifications

• Advanced degree in Computer Science, Data Engineering, or related discipline
• Familiarity with third-party data sources (financial, ESG, market, or alternative data a plus but not required)
• 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.