Teams at Ford Motor Company

Design, build and maintain cloud-native data platforms, pipelines, backend services and APIs on GCP. Enable analytics, reporting and AI/ML solutions (including Generative AI/LLMs). Lead end-to-end delivery, implement ETL/ELT frameworks (DBT, Airflow), apply ML techniques, ensure CI/CD/devops practices, mentor engineers, and collaborate with stakeholders to drive production-ready, scalable data and AI products.

Build and maintain scalable GCP-based ETL/ELT pipelines using Python, BigQuery, and Google Cloud Storage. Support machine learning infrastructure through feature stores, model data feeds, Vertex AI integration, and MLOps workflows. Ingest data from APIs, streaming platforms, and databases; optimize SQL and BigQuery architecture; implement CI/CD, testing, data quality checks, monitoring, and governance. Collaborate with data scientists, ML engineers, and product managers to operationalize production machine learning systems.