What you'll do
You'll lead, mentor, and develop a high-performing Data Engineering and MLOps team that supports enterprise data and analytics initiatives.
- Design, build, and optimize robust, scalable, and high-performance data pipelines and data products using Databricks (PySpark, Delta Lake, Unity Catalog).
- Oversee integration of SAP systems—including SAP BW/4HANA, SAP S/4HANA, and SAP Datasphere—into cloud data platforms and analytics environments.
- Partner with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions that support strategic objectives.
What you need
To succeed in this role, you'll need hands-on experience in data engineering, data platforms, or analytics technology roles.
- 8–12+ years of experience in data engineering, data platforms, or analytics technology roles.
- 3–5+ years of leadership experience managing technical teams or driving enterprise-scale data initiatives.
- Strong expertise in Databricks, including Spark/PySpark, Delta Lake, Unity Catalog, MLflow, and workflow orchestration.
Why this matters
This role will play a critical role in delivering trusted, high-quality data and ensuring our platforms are scalable, reliable, and aligned to business needs.
