Data Architect-3

External

Phinia · Bengaluru, India

Full-timeHybridToday

AzureClassificationComplianceCRMData ModelingEncryption

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About the role

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 a Data Architect to design and govern the enterprise data architecture across cloud, on prem, and hybrid environments. This role defines standards for data models, integration patterns, analytics layers, semantic models, and AI ready datasets. The Data Architect will partner with Data Engineering, Analytics, Application, and Business teams to ensure PHINIA's data ecosystems are scalable, secure, governed, and optimized for advanced analytics, reporting, and machine learning workloads.

Responsibilities

Define the enterprise data architecture, patterns, and standards for PHINIA across Azure, on‑prem, and hybrid data environments.

Architect and govern PHINIA's data platform, including Azure Data Lake/Delta Lake, Databricks, Synapse, and enterprise integration layers.

Design data models, semantic layers, curated datasets, and reusable architecture components that support analytics, BI, and AI/ML readiness.

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

Develop canonical data models, data contracts, and integration design patterns for SAP (ECC/S/4), MES, PLM, CRM, WMS, finance, manufacturing, and supply chain systems.

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).

Establish 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 Cloud, Integration, Application, and Security teams to ensure data solutions align with PHINIA's enterprise architecture standards and cloud strategy.

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 thought leadership and mentor Data Engineers, BI Developers, and Analytics teams on best practices, patterns, and architecture principles.

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