Solutions Architect – Modern Data Management Platforms

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

💵 $135 000 - $150 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 1%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Hitachi

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1910

🚘 Automobile

🏗️ Construction

💼 Conseil

Automotive • Construction • Consulting

Hitachi, Ltd. est une entreprise mondiale opérant dans divers secteurs avec un accent sur l'innovation sociale. Hitachi fournit des solutions numériques avancées, des services et des technologies sous sa marque « Lumada » pour résoudre les défis des clients et renforcer la valeur sociétale. L'entreprise s'engage à la durabilité et aux initiatives environnementales, sociales et de gouvernance (ESG), visant à améliorer la qualité de vie grâce à des technologies favorisant une société durable. Les produits et solutions de Hitachi couvrent les systèmes numériques, l'énergie verte, la mobilité et les industries connectives, promouvant la transformation numérique des systèmes d'entreprise et de l'infrastructure sociale. Fondée en 1910, la longue passion de Hitachi pour l'innovation et le développement sociétal en fait un leader pour conduire un changement positif dans le monde entier.

Description

• Own the technical validation, architecture, and solution development of modern data management platforms for Hitachi environments • Design and validate end-to-end data management architectures combining object storage, open table formats, query engines, governance services, compliance controls, and data pipeline technologies • Develop reference architectures for data lakehouse platforms using Apache Iceberg, Parquet, Spark, Kafka, Flink, Airflow, and S3-compatible storage • Build and document technical patterns for data preparation, ETL, ELT, batch processing, and streaming pipelines • Define architectural guidance for metadata catalogs, data lineage, data quality, data classification, PII discovery, policy enforcement, auditability, retention, and compliance operating models • Ensure solution architectures address privacy, security, regulatory alignment, data residency, retention, classification, and access governance • Validate interoperability between Hitachi platforms and modern data ecosystem components • Create customer-facing solution briefs, design guides, technical white papers, demos, and best-practice documentation • Partner with product management, engineering, field teams, strategic customers, and partners to translate requirements into repeatable solution architectures • Support proof-of-concept activities, technical workshops, and executive-level solution discussions • Evaluate emerging technologies in open table formats, lakehouse architectures, federated query, AI data management, governance, and compliance-aware data management • Serve as a subject matter expert for modern data management and help position Hitachi platforms for governed, compliant analytics and AI workloads

🎯 Exigences

• 10+ years of experience in solutions architecture, data architecture, data engineering, enterprise storage, analytics platforms, or related technical roles • Proven experience designing production data platforms • Ability to architect data platforms with privacy, retention, audit, classification, policy enforcement, and regulatory considerations • Ability to translate complex technical concepts into customer-facing guidance, reference architectures, and executive-ready narratives • Hands-on experience validating architectures in lab, proof-of-concept, or customer deployment environments • Ability to work across engineering, product, field, partner, and customer teams • Deep understanding of data lakes, data lakehouse architectures, object storage, S3-compatible storage, governance, security, compliance, and auditability • Strong knowledge of Apache Iceberg, Parquet, and open table formats • Working knowledge of metadata catalogs and catalog integration • Hands-on experience building ETL, ELT, batch processing, and data preparation architectures • Production experience with Apache Spark, Kafka, Flink, Airflow, and Pentaho PDI • Strong experience with cataloging, metadata management, data lineage, data quality, data classification, PII discovery, policy enforcement, auditability, retention, and compliance support • Familiarity with Collibra, Alation, Microsoft Purview, Informatica, DataHub, or OpenMetadata • Experience supporting data foundations for AI, generative AI, analytics, and RAG pipelines • Understanding of vector embeddings, semantic metadata, metadata enrichment, AI governance, data preparation for AI, and vector databases • Experience with at least one modern lakehouse or federated query engine, such as Trino, Presto, Starburst, Athena, Snowflake, Databricks SQL, Dremio, Denodo, or Zetaris-like federation platforms • Understanding of data federation, data virtualization, predicate pushdown, query optimization, catalog integration, governance-aware query access, and compliance-aware data access controls

🏖️ Avantages

• Employees are eligible to participate in Hitachi Vantara’s bonus/variable/commission pay programs, where applicable • Industry-leading benefits, support, and services supporting holistic health and wellbeing • Flexible arrangements that work for you (role and location dependent) • Sense of belonging, autonomy, freedom, and ownership • Reasonable accommodations during the recruitment process