Data Engineering Solutions Lead

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.

All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

• Career Growth:
  Advance your career with opportunities for leadership and personal development.
• Culture of Excellence:
  Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits:
  Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

As a Data Engineering Solutions Lead within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions.

This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG.

As a Data Engineering Solutions Lead, you will:

• Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
• Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
• Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework—ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers.
• Develop and optimize data models and storage solutions (Databricks, Data Lake houses) to support operational and analytical applications, ensuring data quality and accessibility.
• Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
• Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences.
• Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts.
• Ensure compliance with data governance and…