Lead Data Engineer

CliftonLarsonAllen•Century City, CA

11d•$124,100 - $209,000

About The Position

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other. CLA is growing and seeking to hire an experienced Lead Data Engineer to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation. The role serves as a hands-on technical authority responsible for shaping the enterprise data landscape. They guide the design, development, and optimization of scalable data solutions that enable strategic decision-making across the organization. The role enforces engineering best practices and technical standards while providing mentorship that enhances team capability, elevates delivery quality, and strengthens organizational impact.

Requirements

6 years of relevant experience required.
Cloud Engineering across Azure or AWS and Databricks experience.
Experience designing and building enterprise data pipelines, databases/data warehouses, and system integrations (APIs, ETL, or middleware).
Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
Proficiency in Microsoft Outlook and Office products (Teams, Word, Excel, PowerPoint, etc.)
Advanced proficiency in programming, such as Python, R, Scala, Java, , Snowflake, GitHub, and SQL required.
Proficiency in data visualization tools such as Tableau, Power BI, matplotlib
Advanced proficiency in data modeling and big data technologies such as Hadoop and Spark
Proficiency in data privacy regulations such as DGPR and CCPA
Advanced proficiency in system integrations, APIs, and middleware.
Skilled in addressing technical debt, optimizing performance, and producing enterprise-grade code.

Nice To Haves

Supervisory experience preferred.
Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
AWS Certified Data Engineer – Associate
Google Certified Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate

Responsibilities

Act as a technical SME in data engineering, providing advanced expertise in architecture, design, and best practices.
Lead team of engineers in building scalable data pipelines using Azure Databricks, Azure Data Factory, and Snowflake.
Oversee technical execution, ensuring solutions meet performance, reliability, security, and compliance standards.
Collaborate with cross-functional teams to define technical direction and resolve complex challenges.
Own and drive improvements in scalability, maintainability, and performance through advanced design, refactoring, and documentation.
Direct team's participation in agile processes, ensuring team delivery aligns with business priorities.
Provide day-to-day leadership providing coaching, development, and performance management.