Data Engineering Manager

The Data Engineering Manager delivers a range of modern technology solutions while implementing best practices for key stakeholders across Faith Technologies Incorporated (FTI). This role is instrumental in shaping our data strategy, driving impactful data-driven decisions, and ensuring the successful execution of complex infrastructure and pipeline projects. You will lead and mentor a talented team of engineers while remaining a hands-on contributor, diving into data pipelines to provide technical guidance and insights as needed. Additionally, the Data Engineering Manager collaborates with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role leads and contributes to large-scale project data efforts, providing critical support to business partners, project managers, and vendor resources involved in project execution., * Management: Lead, mentor, and develop a high-performing team of Data Engineers.

• Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.
• Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.
• Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.
• Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with FTI's business objectives.
• Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.
• Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.
• Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.
• Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.
• Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.
• Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.
• Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.
• Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.
• Performs other related duties as required and assigned., This role follows a hybrid work model, offering a blend of onsite and remote flexibility. Team members are required to spend part of their week onsite at our Menasha, WI office to support teamwork, learning, and in-person connection, while enjoying the autonomy and focus that remote work provides. Specific onsite expectations may vary based on team needs, project priorities, and individual development.

We strive to provide a balanced, flexible environment that supports both productivity and engagement.

The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

The ideal candidate would have proficiency in programming languages such as Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as well as experience working with cloud-based platforms like Azure, GCP, or Databricks and big data technologies including Hadoop, Spark, and Kafka. Additionally, familiarity with NoSQL databases such as MongoDB or CosmosDB is expected., Education: Bachelor's Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus. Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.

Travel: 0-10%. Work Schedule: Typical work hours are between 7:00 a.m. and 5:00 p.m. Monday - Friday. Ability to work a flexible schedule is necessary.

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And - as "one of the Healthiest 100 Workplaces in America" - is focused on the mind/body/soul of team members through our, If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future. Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success. FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package. Benefits are the Game-Changer We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today! Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.