Solutions Architect – Modern Data Management Platforms

Job not on LinkedIn

🕒 August 13

🏄 California – Remote

🏄 California – Remote

💵 $135k - $150k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hitachi

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1910

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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