Data Pipeline Architecture & Development – Design, implement, and monitor data pipelines/ETL/ELT. Manage connectors to source systems. Implement robust database systems for automotive knowledge storage integrating diverse data sources (SharePoint, TrackIt, external APIs). Implement data warehousing solutions enabling advanced analytics and AI applications.
Performance Optimization & Scalability - Implement data quality checks, lineage, and data contracts. Optimize database performance for global access across 80+ countries - Automate orchestration and CI/CD. - Support backfill, remediation, and performance tuning.
Integration & Security - Integrate with existing MSX systems and cloud platforms (Azure, GCP, AWS) - Implement robust security measures protecting proprietary automotive knowledge - Develop API interfaces enabling seamless knowledge access by AI agents and applications - Establish data governance frameworks ensuring compliance with global regulations. Secure and govern data access and secrets.
Technical Collaboration - Partner with Knowledge Architect and Data Scientist on optimal data structure implementation - Support Knowledge Champions and Knowledge Acquisition Specialists with data collection tool development - Collaborate with development team on system integration requirements - Work with PM on milestones definition and risk assessment, work with PMO on technical milestone and risk tracking, Work with Privacy/DPO on.