Sr Data & AI Architect

Experience Level: 8+ years of data science experience Position Summary We are seeking a highly technical Data Scientist with deep cloud experience, primarily AWS, to design, build, and operationalize machine learning and AI/LLM solutions. This role requires strong engineering discipline (containers, CI/CD, DevSecOps), current knowledge of generative and agentic AI, front-end delivery of model outputs, and a rigorous approach to governance, security, monitoring, and measurable model quality across the full model lifecycle. POSITION GENERAL DUTIES AND TASKS :Senior Data Operations Engineer

Department: Data and AI Team Reports To: Data Operations Manager Location: Hybrid (Auburn Hills)

Experience Level: Senior (8+ years of operational support experience)

Position Summary: We are seeking a Senior Data Operations Engineer with 8+ years of hands-on operational support experience to own and maintain batch jobs on our data engineering pipelines. This role owns operational stability of data platforms supporting Volkswagen domains and applications, ensuring reliable delivery, rapid incident resolution, and continuous performance improvement across the data ecosystem.

Operations & Support: Monitor and support batch job execution across data engineering pipelines; proactively identify and resolve failures before they impact business operations. Participate in on-call rotation schedules, providing timely response to production incidents. Own and drive incident management, change ticket, and problem management processes following ITIL best practices. Proactively monitor ticket queues and address assigned items immediately, ensuring SLAs are met. Support administration activities across data platforms, including Tomcat application servers and related infrastructure.

Technical Ownership: Develop, troubleshoot, and optimize Python and Java code supporting batch and pipeline operations. Identify and resolve performance bottlenecks; implement code and query optimizations for operational efficiency. Support and maintain ETL/ELT data pipelines with deep understanding of data extraction, transformation, loading, and processing patterns end to end. Manage and troubleshoot AWS Glue jobs, crawlers, and workflows supporting pipeline orchestration. Support data storage and database layers including S3 (data lake tables), RDS databases, and query/performance tuning. Support Oracle databases and OLTP systems, including query tuning and operational troubleshooting. Administer and support Cloudera Hadoop ecosystem components including HDFS and Impala for distributed data storage and querying. Work with Apache Spark for large-scale batch and distributed data processing troubleshooting and tuning. Maintain and support BI tools, including Tableau and Power BI, for downstream reporting and analytics consumers. Manage code libraries and dependencies, ensuring version currency and compatibility.

Governance, Quality & Security: Serve as gate reviewer for code being promoted to production, validating operational readiness and adherence to standards before release. Ensure developers complete required operational validations (testing, documentation, rollback plans) prior to deployment. Work within Git repositories, review pull requests, and enforce branching/merge standards for operational code changes. Identify, track, and remediate security vulnerabilities in a timely manner in coordination with security teams. Support end-to-end product lifecycle management, including deprecation, upgrades, and decommissioning of applications and pipelines. Domain & Business Knowledge Develop deep understanding of Volkswagen domain applications and business processes to inform troubleshooting and support decisions. Partner with business and SME stakeholders to translate operational issues into actionable fixes. Required Skills & Qualifications 8+ years of experience in data operations/production support roles. Proficiency in Python and Java for pipeline support and automation. Strong hands-on experience with AWS services, particularly AWS Glue (jobs, crawlers, Enable Skills-Based Hiring No ICIMS RR ID #Additional DetailsSkill Category : RegularICIMS RR ID # : NAClient Name : Volkswagen Group of America IncEngagement Type : T&M Competitive 1-3Vertical : Products Industries Must-Have Primary Skill : Data and Intelligence-Analytics-Artificial Intelligence Primary Skill: Yrs Experience : Expert (5+ Years Experience)RC- Domain : Project Management - FunctionalRC- Subdomain : 89 - Functional practice areas (Process Definition-Improvement, Package Implementation, Infrastructure, Strategy, Digital, Software Development, Conversion / Re-platforming)RC- Role : Project ManagerRC- Experience Level : IVRC- Geo Tier : US-3RC- Exception Required : NoCOVID-19 Vaccine Required? : (No Value) Client-Accepted Visa Types : (No Value)