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Data Engineering Manager

Forvis Mazars -
Remote

Quick Apply

Job Details

Full-time

Qualifications

Data model design
Commercial use (data warehousing systems)
Data visualization software proficiency
Data lake
Cloud data warehouses
Managing IT teams
Managing data teams
SQL
Data Architecture Design (Architecture design skills)
Business intelligence tools
Leading team collaboration initiatives
Data analytics tools
Query management
Dimensional modeling

Full Job Description

The Enterprise Data Engineering Manager is a member of the Enterprise Data Services (EDS) team and works in a variety of settings to identify opportunities for improvement, provide guidance, best practices and assistance for data pipelines, architecture, and data platforms. The goal is to make data available in a secure and performant manner to support the technical, operational, and business needs of Forvis Mazars. Typically, an Enterprise Data Engineering Manager is responsible for overseeing the design, development, and optimization of data pipelines, platforms, and architectures that support analytics, machine learning, and business intelligence. They manage data engineers, drive technical strategy, and ensure data is high quality, secure, and accessible across the organization. Additionally, this position will work with teammates to drive efficiencies for the firm.

Enterprise Data Services (EDS) are recognized internally as “the go-to people” for the most complex Information Management assignments. We analyze, design, and develop enterprise data and information architecture deliverables, focusing on data as an asset of value to the business.

Working on the Enterprise Data Services team means we solve hard, complicated problems with aggressive timelines. Having and making a conscious effort to support and contribute towards a collegial attitude working together is of paramount importance for the successful functioning of the team. Each team member is expected to actively participate in the development of solutions as called upon and be able to work independently with confidence in their own competence and knowing you have the support of the team. When it is required, senior members of the team will make decisions, but decisions will be informed by the input of all involved teammates. We are here to support and enable each one of us to be successful in our jobs and enable EDS to successfully deliver quality solutions in an efficient and timely manner. This can only be done by working together.

What You Will Do:

Works with a team to understand, in depth, both the business and technical problems EDS seek 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 a 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.

Minimum Qualifications:

Bachelor’s degree in Technology, Mathematics, Business Administration, or a related field, or 9+ years of relevant experience.
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.

Quick Apply

Refine Your Search

works manager jobs in remote us anywhere

Data Engineering Manager

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Customer Service Quality Manager

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IT Helpdesk Manager

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