Enterprise Data Architect

ABOUT US

PHINIA: Advancing sustainability today, powering a cleaner tomorrow.

PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI®, DELCO REMY® and HARTRIDGE™. With over 12,500 employees across 43 locations in 20 countries, PHINIA is headquartered in Auburn Hills, Michigan, USA.

At PHINIA, we Provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality — developed and manufactured responsibly — that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications. In doing so, we contribute to a cleaner tomorrow, treat our people and surrounding communities with respect, and hold ourselves accountable to robust ethical standards.

Our Culture

PHINIA promotes and cultivates an inclusive culture and diverse perspectives, strives to maintain its reputation for excellence, thrives on the power of collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions, and we take our collective responsibility seriously.

Career Opportunities

We believe in building a brighter tomorrow for our employees as well as our customers and encourage you to learn about our long history, strong culture, new technologies, and future vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow.

JOB PURPOSE

PHINIA is seeking an Enterprise Data Architect to design and guide the implementation of data architecture solutions across cloud, on-prem, and hybrid environments. The role contributes to enterprise standards for data models, integration patterns, analytics layers, semantic models, and AI-ready datasets. The Enterprise Data Architect will partner with Data Engineering, Analytics, Application, and Business teams to ensure PHINIA's data ecosystem is scalable, secure, governed, and optimized for advanced analytics, reporting, GenAI, and machine learning workloads.

KEY RESPONSIBILITIES

• Design AI-ready enterprise data architecture, semantic foundations and standards for PHINIA across Azure, on ‑ prem, and hybrid data environments.

• Design architectures supporting GenAI, RAG, vector databases, knowledge graphs, and enterprise search.

• Partner with business and AI teams to identify and enable high-value AI use cases.

• Shape data product strategies and reusable domain data assets for AI consumption.

• Establish architecture patterns for AI governance, model observability, and responsible AI.

• D esign and guide PHINIA’s data platform, including Azure Data Lake/Delta Lake, Databricks, Synapse, and enterprise integration layers.

• Define enterprise semantic models, business vocabularies and integration design patterns for SAP (ECC/S/4), MES, PLM, CRM, WMS, finance, manufacturing, and supply chain systems.

• Drive master data, reference data, and ontology strategies.

• Enable consistent business definitions across analytics and AI workloads.

• Understanding of RAG, vector stores, embeddings, LLM orchestration, and AI agents.

• Experience integrating structured and unstructured enterprise data for AI use cases.

• Collaborate with Data Engineers to design scalable ETL/ELT pipelines, ingestion frameworks, and lake-house structures aligned with best practices.

• Ensure robust data governance, including lineage, metadata, privacy, classification, and quality frameworks; integrate governance with enterprise tools (catalog, glossary, standards).

• Partner with Data & Analytics teams to operationalize AI/ML workloads, feature pipelines, and real-time streaming architectures.

• Define security, compliance, and access control standards for data platforms (encryption, masking, tokenization, RBAC/ABAC).

• Provide architecture guidance for real-time ingestion, event streaming (Kafka/Event Hub), time-series data, and IoT/edge data integration.

• Create architecture diagrams, design documents, data flow maps, source ‑ to ‑ target mappings, and reference blueprints for analytics and operational systems.

• Work closely with business domain teams (Manufacturing, Quality, Supply Chain, Finance, Aftermarket) to translate needs into scalable data products and reusable patterns.

• Collaborate with other domain architects, cloud, applications and security teams to align data capabilities with business architecture, application architecture, and digital transformation initiatives.

• Guide platform modernization initiatives including S/4HANA, SAP BTP adoption, cloud migration, and application data model harmonization.

• Evaluate emerging data technologies, AI-assisted modeling, semantic automation tools, and metadata-driven pipelines; lead proof ‑ of ‑ concepts for new capabilities.

• Provide guidance and mentor Data Engineers, BI Developers, and Analytics teams on best practices, patterns, and architecture principles.

• Partner with business teams to translate business outcomes to data capabilities.

• Serve as the technical leader for enterprise data architecture.

• Lead architecture reviews and governance forums.

• Influence cross-functional teams without direct authority.

What we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related technical discipline

• 10-15 years of experience in data engineering, data architecture, analytics engineering, or enterprise architecture roles.

• At least 5 years’ experience contributing in enterprise data architecture initiatives.

• Deep experience with modern data platforms, especially Azure Data Lake, Delta Lake, Databricks, Synapse.

• Strong data modeling expertise across dimensional, relational, and lake-house models; experience building semantic layers for BI tools (e.g., Power BI).

• Hands ‑ on experience designing scalable ETL/ELT pipelines, ingestion frameworks, and integration patterns (APIs, Kafka/Event Hub, CDC, SAP connectors).

• Strong understanding of data from enterprise systems: SAP (ECC/S/4HANA), MES, PLM, WMS/SCM, CRM, finance, and manufacturing systems.

• Experience with data governance, lineage, metadata practices, and governance tools (catalogs, glossaries).

• Solid understanding of cloud security, access governance, data compliance, and privacy controls.

• Experience in enabling AI/ML workloads, feature stores, and data preparation pipelines.

• Familiarity with Python, SQL, Databricks notebooks, PySpark, and orchestration tools.

Nice to have

• Manufacturing or automotive industry experience highly preferred

• DP ‑ 203: Azure Data Engineer Associate

• Databricks Data Engineer Associate/Professional

• Azure Solutions Architect (AZ ‑ 305) or Azure Fundamentals (AZ ‑ 900)

• Data Management or Data Governance certifications (DAMA, CDMP)

WHAT WE OFFER

We provide compensation and benefits programs intended to attract, motivate, reward, and retain an incredibly talented, globally diverse workforce at all levels within our organization. Our compensation programs are informed by market data and business needs, and we are committed to providing equitable and competitive compensation. We are committed to providing our team with quality and competitive benefit programs, including health and well-being resources, family-centric policies, and an agile workplace program, where not precluded by collective bargaining agreements or national statutory plans. Plans are benchmarked for competitiveness and value.

We provide formal development opportunities at all levels and stages of employee careers. These opportunities are delivered in a variety of formats to make our portfolio of solutions agile, sustainable, and scalable to support our employees in developing the skills needed to succeed.

WHAT WE BELIEVE

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