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CLA (CliftonLarsonAllen)

Lead Data Engineer

Reposted Yesterday
In-Office
Century City, Los Angeles, CA
124K-209K Annually
Mid level
In-Office
Century City, Los Angeles, CA
124K-209K Annually
Mid level
The Lead Data Engineer will shape enterprise data solutions, lead a team in building data pipelines, ensure project execution meets standards, and mentor team members while focusing on scalability and performance improvements.
The summary above was generated by AI

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.

Our Perks:

  • Flexible PTO (designed to offer flexible time away for you!)

  • Up to 12 weeks paid parental leave

  • Paid Volunteer Time Off

  • Mental health coverage

  • Quarterly Wellness stipend

  • Fertility benefits

  • Complete list of benefits here

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.

How you’ll create opportunities in this Lead Data Engineer role:

  • 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.

What you will need:

  • 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).

  • Supervisory experience preferred.

  • Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.

Certifications / Licenses

  • None required.

  • One or more of the following 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

Technical Competencies

  • 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.

 

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range.

The compensation range for this position in California is: $124,100.00 – $209,000.00

#LI-DJ1

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
 
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

To view a complete list of benefits click here.

Top Skills

Azure Data Factory
Azure Databricks
Git
Hadoop
Java
Power BI
Python
R
Scala
Snowflake
Spark
SQL
Tableau

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