Senior Machine Learning Engineer (Data Platform) Databricks / Medallion Architecture- Hybrid/Dallas,

Job Description

Job Description

Senior Machine Learning Engineer (Data Platform) Databricks / Medallion Architecture– Hybrid/Dallas, TX

Ready to architect the future of intelligent data? We are seeking a visionary Senior Machine Learning Engineer to own the intersection of data engineering excellence and enterprise-scale AI. In this pivotal role, you won’t just deploy models; you will shape our overarching ML and data strategy and design a modern data platform from the ground up. Leveraging a robust Medallion Architecture, you will build the clean, high-throughput, ML-ready pipelines that transform raw data into gold-standard fuel for predictive modeling and advanced analytics. If you are a data engineer passionate about scaling production machine learning in a dynamic, mid-sized environment, this is your opportunity to take a journey from ingestion to the Gold Layer and leave a lasting blueprint.

Why should you apply here?

• With a proud 40-year legacy, this firm stands at the forefront of its industry, setting the standard for excellence and innovation.
• Home to over 800 dedicated professionals, the company thrives with the energy and agility of a mid-sized powerhouse.
• As a privately held company with an Employee Stock Ownership Program, every employee is empowered to shape the company’s future.
• The arrival of a visionary CIO in 2023 sparked rapid IT expansion, quadrupling the team from 5 to 20 members in record time.
• Cutting-edge automation and robust security are at the heart of every initiative.
• Nearly all projects are new development, backed by the latest resources and tools to ensure success.
• IT champions open communication, seamless collaboration, and a culture where everyone thrives.
• Enjoy continuous opportunities to learn, grow, and advance their careers.

Why should you apply here?

• Lead the evolution of our cutting-edge ML & Data Platform, driving innovation at every turn.
• Build dynamic ML pipelines, from data ingestion to deployment and monitoring.
• Design and operationalize transformative Bronze → Silver → Gold data flows, empowering ML workloads and fueling enterprise analytics.
• Develop and maintain ML-ready datasets and a Feature Store.
• Turn business needs into scalable, impactful ML solutions.
• Engineer robust ETL/ELT and automated workflows.
• Collaborate to ensure ML solutions deliver business impact.
• Mentor the team and champion engineering excellence.
• Safeguard data governance, security, and performance.
• Create dashboards and models to turn ML insights into action.

What are the minimum qualifications?

• 5–7 years of ML and data engineering, including building data models and leading teams.
• Designed ML-ready architectures and scalable workflows; set engineering standards.
• Expert in Medallion Architecture for structured, ML-ready datasets.
• Experienced with Azure Databricks for ML and data pipelines.
• Migrated workloads to Databricks; used Delta Lake, MLflow, and Databricks Workflows.
• Proficient in Python for ML, feature engineering, and MLOps.
• Advanced SQL for data transformation and ELT pipelines.
• Comfortable in fast-paced, collaborative, experimental environments.
• 10+ years delivering enterprise data and ML solutions.
• Designed feature stores and production-grade data assets.
• Integrated ML outputs into analytics tools and dashboards.
• Designed dashboards for ML insights, data quality, and model performance.
• Familiar with Power BI best practices, DAX, and visualization.
• Self-starter with strong communication skills and ability to collaborate across cross-functional teams.

What will make your résumé stand out?

• Skilled in building impactful statistical models that drive insights and decisions.
• Hands-on expertise with TensorFlow.
• Passion for harnessing big data to uncover trends and fuel innovation.
• Proven experience with GIS
• Well-versed in LLMs, generative AI, and state-of-the-art machine learning techniques.
• Exposure to advanced model monitoring, drift detection, and ML observability tools to ensure robust performance.

Location: Hybrid/Dallas, TX. Work onsite 2–3 days per week.

Salary: $160k – $185k, Excellent medical insurance, Employee Stock Ownership Plan, 401(k).  

Citizenship: U.S. Citizens or Permanent Residents