{"id":1460317,"url":"https://alion.io/job/phinia-enterprise-data-architect","title":"Enterprise Data Architect","company":{"id":1874673,"name":"PHINIA","domain":"phinia.com","url":"https://alion.io/company/phinia","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SAP BTP","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Tokenization","optional":false},{"name":"ABAP","optional":true},{"name":"Agile","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-01T00:00:00Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-10-06T19:05:58Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":97},"description":"ABOUT US\nPHINIA: Advancing sustainability today, powering a cleaner tomorrow.\nPHINIA 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.\nAt 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.\nOur Culture\nPHINIA 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.\nCareer Opportunities\nWe 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.\nJOB PURPOSE\nPHINIA 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\nDesign AI-ready enterprise data architecture, semantic foundations and standards for PHINIA across Azure, on-prem, and hybrid data environments.\nDesign architectures supporting GenAI, RAG, vector databases, knowledge graphs, and enterprise search.\nPartner with business and AI teams to identify and enable high-value AI use cases.\nShape data product strategies and reusable domain data assets for AI consumption.\nEstablish architecture patterns for AI governance, model observability, and responsible AI.\nDesign and guidePHINIA’s data platform, including Azure Data Lake/Delta Lake, Databricks, Synapse, and enterprise integration layers.\nDefine enterprise semantic models, business vocabularies and integration design patterns for SAP (ECC/S/4), MES, PLM, CRM, WMS, finance, manufacturing, and supply chain systems.\nDrive master data, reference data, and ontology strategies.\nEnable consistent business definitions across analytics and AI workloads.\nUnderstanding of RAG, vector stores, embeddings, LLM orchestration, and AI agents.\nExperience integrating structured and unstructured enterprise data for AI use cases.\nCollaborate with Data Engineers to design scalable ETL/ELT pipelines, ingestion frameworks, and lake-house structures aligned with best practices.\nEnsure robust data governance, including lineage, metadata, privacy, classification, and quality frameworks; integrate governance with enterprise tools (catalog, glossary, standards).\nPartner with Data & Analytics teams to operationalize AI/ML workloads, feature pipelines, and real-time streaming architectures.\nDefine security, compliance, and access control standards for data platforms (encryption, masking, tokenization, RBAC/ABAC).\nProvide architecture guidance for real-time ingestion, event streaming (Kafka/Event Hub), time-series data, and IoT/edge data integration.\nCreate architecture diagrams, design documents, data flow maps, source-to-target mappings, and reference blueprints for analytics and operational systems.\nWork closely with business domain teams (Manufacturing, Quality, Supply Chain, Finance, Aftermarket) to translate needs into scalable data products and reusable patterns.\nCollaborate with other domain architects, cloud, applications and security teams to align data capabilities with business architecture, application architecture, and digital transformation initiatives.\nGuide platform modernization initiatives including S/4HANA, SAP BTP adoption, cloud migration, and application data model harmonization.\nEvaluate emerging data technologies, AI-assisted modeling, semantic automation tools, and metadata-driven pipelines; lead proof-of-concepts for new capabilities.\nProvide guidance and mentor Data Engineers, BI Developers, and Analytics teams on best practices, patterns, and architecture principles.\nPartner with business teams to translate business outcomes to data capabilities.\nServe as the technical leader for enterprise data architecture.\nLead architecture reviews and governance forums.\nInfluence cross-functional teams without direct authority.\nWhat we’re looking for\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related technical discipline\n10-15 years of experience in data engineering, data architecture, analytics engineering, or enterprise architecture roles.\nAt least 5 years’ experience contributing in enterprise data architecture initiatives.\nDeep experience with modern data platforms, especially Azure Data Lake, Delta Lake, Databricks, Synapse.\nStrong data modeling expertise across dimensional, relational, and lake-house models; experience building semantic layers for BI tools (e.g., Power BI).\nHands-on experience designing scalable ETL/ELT pipelines, ingestion frameworks, and integration patterns (APIs, Kafka/Event Hub, CDC, SAP connectors).\nStrong understanding of data from enterprise systems: SAP (ECC/S/4HANA), MES, PLM, WMS/SCM, CRM, finance, and manufacturing systems.\nExperience with data governance, lineage, metadata practices, and governance tools (catalogs, glossaries).\nSolid understanding of cloud security, access governance, data compliance, and privacy controls.\nExperience in enabling AI/ML workloads, feature stores, and data preparation pipelines.\nFamiliarity with Python, SQL, Databricks notebooks, PySpark, and orchestration tools.\nNice to have:\nManufacturing or automotive industry experience highly preferred\nDP-203: Azure Data Engineer Associate\nDatabricks Data Engineer Associate/Professional\nAzure Solutions Architect (AZ-305) or Azure Fundamentals (AZ-900)\nData Management or Data Governance certifications (DAMA, CDMP)\nWHAT WE OFFER\nWe 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.\nWe 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.\nWHAT WE BELIEVE\nProduct Leadership - Innovation that brings value to our customers\n\nHumility - Seeking out diverse perspectives and working collaboratively\n\nInclusivity - Recognizing our differences makes us stronger; we are bold and intentional\n\nNet-Zero - Committed to energy efficiency, waste reduction and beneficial reuse\n\nIntegrity - Taking responsibility for our decisions and doing what is right\n\nAccountability - Taking ownership of our actions and driving results\n\nSAFETY\nYou will consistently hear us say Safety First! We are committed to continually improving our strong safety performance supporting the health and wellness of our employees!\nWe also believe employee health and safety is everyone’s responsibility. We encourage safety learning and collaboration to help employees understand and follow applicable safety policies, standards, and procedures and identify opportunities to minimize or eliminate risk. Work is expected to be conducted in a manner that stresses the importance of preventing incidents and illnesses, including attending all required safety meetings and trainings. It is expected that all incidents, near misses, and unsafe conditions are immediately reported to the direct manager, Human Resources, or Safety Representative.\nEQUAL EMPLOYMENT OPPORTUNITY\nPHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status.\nVISA SPONSORSHIP\nPHINIA does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work on a full-time basis, in the country where the position is currently based.\nNO UNAUTHORIZED REFERRALS FROM RECRUITERS & VENDORS\nPlease note that PHINIA does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to PHINIA will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received.\nGLOBAL TERMS OF USE AND PRIVACY STATEMENT\nCarefully read the PHINIA Privacy Policy before using this website. Your ability to access and use this website and apply for a job at PHINIA are conditioned on your acceptance and compliance with these terms.\nPlease access the linked document by clicking here, select the geographical area where you are applying for employment, and review.\nBefore submitting your application you will be asked to confirm your agreement with the terms.\nCareer Scam Disclaimer:\nPHINIA makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by PHINIA. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact PHINIA through PHINIA’s website to verify the authenticity of any employment opportunities.\nAdvancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow. 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