Solutions Architect – Modern Data Management Platforms

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🕒 Agosto 13

🏄 California – Remoto

🏄 California – Remote

💵 $135.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

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Hitachi

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1910

🚘 Automotivo

🏗️ Construção

💼 Consultoria

Automotive • Construction • Consulting

Hitachi, Ltd. é uma empresa global que atua em diversos setores, com foco em inovação social. A Hitachi oferece soluções, serviços e tecnologias digitais avançadas sob a marca "Lumada" para resolver os desafios dos clientes e ampliar o valor para a sociedade. A empresa é comprometida com a sustentabilidade e com iniciativas de ambiental, social e governança (ESG), visando melhorar a qualidade de vida por meio de tecnologias que promovem uma sociedade sustentável. Os produtos e soluções da Hitachi abrangem sistemas digitais, energia verde, mobilidade e indústrias conectadas, promovendo a transformação digital de sistemas de negócios e da infraestrutura social. Fundada em 1910, a longa dedicação da Hitachi à inovação e ao desenvolvimento da sociedade a torna líder na promoção de mudanças positivas em todo o mundo.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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