Senior Databricks Engineer

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows within the Databricks platform
• Build and optimize lakehouse architectures on Delta Lake to support enterprise analytics and operational reporting
• Develop and tune Apache Spark jobs for performance, reliability, and cost efficiency across high-volume logistics data
• Collaborate with cross-functional teams including analytics, data science, architecture, and business stakeholders
• Implement data quality, governance, and performance optimization best practices within the Databricks environment
• Support migration and modernization efforts moving legacy data workloads onto the new Databricks platform
• Work with structured and unstructured logistics and supply chain data across multiple enterprise systems
• Contribute to enterprise data strategy, platform scalability, and engineering standards across the initiative

The ideal candidate is a highly skilled data engineering professional with deep, hands-on experience in the Databricks ecosystem and a passion for building enterprise-scale lakehouse solutions. We are specifically seeking engineers who have delivered production Databricks environments and are ready to play a central role in shaping how this platform is architected and scaled. Candidates holding active Databricks certifications are strongly encouraged to apply., * 5+ years of experience in data engineering or related fields

• Deep hands-on expertise with Databricks, Delta Lake, and Apache Spark
• Experience building enterprise-scale data pipelines and distributed data processing solutions
• Proficiency in SQL and Python
• Experience with modern cloud ecosystems such as Azure, AWS, or Google Cloud Platform
• Strong understanding of data warehousing, data lakes, and lakehouse architectures
• Experience working in large, complex enterprise environments with multiple data domains
• Excellent communication and stakeholder collaboration skills

Preferred Qualifications

• Databricks certification strongly preferred
• Experience within logistics, supply chain, transportation, or freight environments
• Familiarity with Delta Live Tables, Databricks Asset Bundles, or MLflow
• Experience with CI/CD, DevOps, and infrastructure-as-code practices
• Exposure to real-time streaming and advanced analytics environments, We are looking for high-impact Databricks engineers who are energized by the opportunity to build something significant from the ground up within a Fortune 500 logistics environment. This is a rare chance to join a major platform initiative at its earliest stages - with real scope, meaningful investment, and strong executive backing. Candidates with proven Databricks expertise and current certifications are especially encouraged to apply.

A Fortune 500 logistics organization is seeking a Senior Databricks Engineer to join its growing enterprise data and analytics team. This role will support a large-scale, enterprise-wide Databricks implementation, a flagship data modernization initiative designed to unify fragmented data systems across logistics, operations, finance, and commercial functions into a single, unified lakehouse platform. This program represents one of the most significant data investments this organization has undertaken and will have a direct impact on how data drives decisions across the business.