Director of Data Engineering / Los Angeles / Onsite

Overview

On Site
220k - 250k
Full Time

Skills

LOS
Innovation
Analytics
Management
Cloud Computing
Data Lake
SQL
Database
Databricks
Data Warehouse
Data Governance
Data Quality
Meta-data Management
Data Architecture
Data Modeling
Data Management
Communication
Leadership
Computer Science
Finance
Machine Learning (ML)
Systems Design
Distributed Computing
Extract
Transform
Load
ELT
Microsoft Azure
Data Engineering
Team Leadership
Roadmaps
Software Design
Collaboration
Insurance
SAP BASIS

Job Details

Job Description
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 that is 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 also staying close enough to the technology to guide best practices and innovation.
Required Skills & Experience
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
Desired Skills & Experience
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
What You Will Be Doing
Tech Breakdown
Azure Data Engineering & Architecture
Governance & Data Strategy
Daily Responsibilities
Team Leadership & Roadmap Execution
Hands-On Technical Oversight & Solution Design
Cross-Functional Collaboration with Stakeholders
The Offer
Bonus Eligible
You will receive the following benefits:
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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