What are the responsibilities and job description for the Data & AI Platform Engineer position at Largeton Group?
Job Summary (Senior Data & AI Platform Engineer Amtrak, Washington DC):
- Architect and scale a unified, self-service Data & AI platform using Databricks lakehouse architecture.
- Integrate Databricks, SAP (Datasphere/S/4), and Denodo virtualization into a governed data ecosystem.
- Lead the development and implementation of complex data pipelines, feature stores, and API-driven integrations to support enterprise analytics and digital experiences.
- Design and implement MLOps pipelines with CI/CD, versioning, and monitoring for robust model deployment.
- Establish and enforce technical standards for data ingestion, transformation, and governance-as-code.
- Mentor and provide technical guidance to junior and mid-level engineers; foster a culture of engineering excellence.
- Collaborate with architects, product owners, and governance leads to ensure alignment with the enterprise data roadmap.
- Utilize advanced Python, SQL, Apache Spark, and modern lakehouse architectures (Databricks preferred).
- Apply expertise in MLOps, feature stores, semantic layers, and API/event-driven architectures.
- Work in a scaled Agile environment, demonstrating leadership and strong communication skills to explain complex technical concepts to diverse stakeholders.