Important Company Update – Please Read Before Applying. On January 22, 2025, Aptiv announced its decision to separate its EDS division to form two separate independent companies:https://www.automotiveworld.com/news-releases/aptiv-announces-intention-to-separate-its-electrical-distribution-systems-business/

This role is within the EDS segment, and you will be joining that segment as it becomes its own entity, with a rich heritage and proven track record as a global leader in low and high voltage power and signal distribution systems. Our solutions are central to enabling the next generation of electrified, automated, and connected vehicles, and we are committed to innovation, sustainability, and engineering excellence.

We are looking for talented individuals who are excited by the opportunity to help shape the future of EDS and delivering industry-leading solutions to the world’s top automotive manufacturers

Your Role

 A Data Architect designs and implements enterprise data management systems that align with business needs and strategic goals. This role bridges technical expertise with business understanding to create scalable, efficient data infrastructure.

Key Responsibilities

Design and implement comprehensive data architecture frameworks and data modelsDevelop data management strategies, governance policies, and quality standardsCreate and maintain data dictionaries, taxonomies, and metadata repositoriesCollaborate with stakeholders to understand business requirements and translate them into technical specificationsEstablish data integration processes between disparate systemsImplement security measures to protect sensitive dataEvaluate and recommend appropriate data storage solutions (relational databases, data warehouses, data lakes)Guide ETL processes and data pipeline developmentMentor data engineers and analysts on best practices

Your Background

Key ingredients for succeeding in this role are your:

Technical Skills

Data Modeling: Expertise in conceptual, logical, and physical data modeling techniquesDatabase Technologies: Proficiency with relational databases, NoSQL solutions, data warehouses, and data lakesBig Data Frameworks: Knowledge of Hadoop, Spark, Kafka, and other distributed processing systemsETL/ELT Processes: Design and optimization of data integration pipelinesData Governance: Implementing data quality, master data management, and metadata managementSQL & Query Optimization: Advanced SQL skills and performance tuning expertiseCloud Data Platforms: Experience with AWS, Azure, or GCP data servicesData Security: Understanding of data protection, encryption, access controls, and compliance requirements

Strategic Skills

Data Strategy Development: Aligning data architecture with business objectivesEnterprise Architecture: Understanding how data architecture fits within broader enterprise systemsData Lifecycle Management: Policies for data retention, archiving, and disposal

Soft Skills

Communication: Explaining complex data concepts to non-technical stakeholdersCollaboration: Working effectively with data engineers, analysts, scientists, and business teamsProblem-Solving: Addressing complex data challenges with innovative solutionsDocumentation: Creating comprehensive data dictionaries, models, and architectural diagramsProject Management: Coordinating data architecture initiatives across teams

Apply today, and together let’s change tomorrow!

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.