Data Engineering Solutions Lead

Career Growth

Career Growth: Advance your career with opportunities for leadership and personal development.

Culture of Excellence

Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.

Competitive Benefits

Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards

• 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.
• Covered by this package are:
  • Medical, dental, and vision insurance
  • Wellness programs
  • Retail plans
  • Generous paid leave

A Day In The Life

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.

What We Need From You

• Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures.
• Req or Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures.
• Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies.
• Required Expertise in developing ETL/ELT workflows.
• Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.
• Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
• Solid experience with AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks.
• Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala).
• Hands on RDBMS experience (data modeling, analysis, programming, stored procedures).
• Familiarity with machine learning model deployment and management practices is a plus.
• Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders.

Physical and Environmental Requirements

The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

Travel Requirements

The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business.

Join Us

The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship.