Senior Data Engineer

Position Summary

The Senior Data Engineer guides the development of GFS’ Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. The role identifies and translates Big Data challenges into technical approaches yielding actionable recommendations across multiple, diverse domains. It helps define the team’s technical design principles and implements them, guides the Data Engineering team in collaboration with IT and the organization, contributes to the design and architecture of technical solutions in an agile manner, and empathizes with business challenges to develop solutions.

The position is a leader in refining and following team processes to increase efficiency and capacity, building strong personal relationships and mentoring junior developers.

• Provide expertise and guidance in defining the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes.
• Provide guidance to the scrum master and product owner to determine priority and effort for features.
• Mentor other team members in the appropriate use and application of new and existing tools and processes.
• Design and build technology solutions across multiple initiatives simultaneously.
• Automate repetitive data engineering tasks and build proactive monitoring and alerting systems.
• Collaborate with others inside and outside of IT to rapidly architect, design, prototype, and implement technical architectures to deliver insightful solutions.
• Translate business analytics problems into technical solutions that yield actionable recommendations across multiple, diverse domains.
• Document technical designs and systems thoroughly to ensure long-term sustainability and ease of knowledge transfer within the team.
• Help build a high‑performing team focused on results and relationships within and outside the team.
• Perform other duties as assigned.

Monday to Friday, 8am to 5pm. Hybrid schedule: 4 days in office in Wyoming, MI or Atlanta, GA, with 1 day remote.

• Bachelor’s degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or a related field.
• At least 8 years of experience in technical design, development, and delivery of data engineering solutions.
• Highly experienced with cloud computing platforms, preferably Google Cloud Platform (GCP).
• Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically Postgre
  
  SQL and SQL Server).
• Highly experienced in modern data movement technologies (serverless, real‑time, as‑needed computing, low‑latency data movement, high‑volume data management, etc.).
• Proven track record as a self‑starter, quick learner with strong documentation skills, and ownership of existing systems.
• Expert in modern devops practices to deliver code quickly with a high degree of confidence and quality.
• Business influence: ability to present and explain technical and complicated information in an easy‑to‑understand format, verbally and in writing.
• Highly experienced in understanding and developing complex data models.
• Knowledge of data governance, expectations and leading practices.
• Business judgement: high degree of ingenuity, creativity, and innovation to solve unique and complex business challenges; evaluate alternative solutions, considering costs and benefits.
• Preferred languages include but are not limited to Python, Terraform, SQL, and Java.
• Preferred tool experience includes but is not limited to Apache Airflow, Kafka, Qlik Replicate, Postgre
  
  SQL, SQL Server, and Solarwinds DPA.
• Experience working with the SAP data model.
• Experience working with artificial intelligence / machine learning platforms and practices.

Equal Employment Opportunity is a matter of policy at Gordon Food Service, Inc. and we are committed to a work environment in which all individuals are treated with respect and dignity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability.

If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request to  and use the words "Accommodation Request" in your subject line.