Enterprise Data Platform Lead

Forvis Mazars, LLP; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Forvis Mazars, LLP is seeking an Enterprise Data Engineering Manager to lead the data engineering team within the Enterprise Data Services group. You will oversee design, development, and optimization of data pipelines, platforms, and architectures to support analytics and ML initiatives.

You will mentor engineers, drive data platform best practices, and ensure data quality, security, and accessibility across the organization. This role requires strong collaboration and strategic thinking.

Qualifications

• Bachelor's degree in Technology, Mathematics, Business Administration, or a related field.
• 5+ years in modern data warehouse/data lakehouse data engineering with multiple implementations.
• 3+ years of experience leading data engineering teams.
• Hands-on experience with dimension data modeling.
• Working experience in Fabric / Power BI (including semantic models).
• Experience in defining and implementing data engineering best practices and standards in a medallion architecture.
• SQL Proficiency.
• Experience with modern data platforms (Databricks, Snowflake, Microsoft, etc.).
• Work collegially and collaboratively within the team.
• Willingness to learn and become proficient with emerging data engineering capabilities.
• Follow and contribute to Forvis Mazars' enterprise and data architecture principles and guidelines.

Responsibilities

• Works with a team to understand, in depth, both the business and technical problems EDS seeks to solve.
• Maintains an enterprise‑perspective when designing, developing, and implementing solutions and delivering services.
• Provide oversight and guidance to the Data Engineers.
• Provide Data Engineer team status reporting.
• Provide feedback and annual performance reviews for the Data Engineers.
• Lead the publication of data engineering best practices.
• Act as the Data Engineering COE (Center of Excellence) representative.
• Assist in the scoping of efforts related to data engineering, including defining the business objectives, requirements and desired outcomes.
• Promote enterprise best practices, guidelines and techniques in data pipelines, platforms, and architectures.
• Act as conduit to the data analytics and data governance Data COEs (Center of Excellence).
• Implement process improvements to reduce development time and assist in the integration of complex business factors to implement long‑term strategic planning objectives.

Skills

Data warehousing

Leadership

SQL

Databricks

Snowflake

Power BI

Data modeling

Medallion architecture

Data pipelines

Team collaboration

Emerging tech

Education

Bachelor's degree in a related field

Tools

Fabric

Power BI

Databricks

Snowflake

Job description

Forvis Mazars, LLP is seeking an Enterprise Data Engineering Manager to lead the data engineering team within the Enterprise Data Services group. You will oversee design, development, and optimization of data pipelines, platforms, and architectures to support analytics and ML initiatives.

You will mentor engineers, drive data platform best practices, and ensure data quality, security, and accessibility across the organization. This role requires strong collaboration and strategic thinking.