{"id":53937,"url":"https://alion.io/job/hitachi-solutions-architect-modern-data-management-platforms","title":"Solutions Architect - Modern Data Management Platforms","company":{"id":129,"name":"Hitachi","domain":"hitachi.com","url":"https://alion.io/company/hitachi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":342,"ghost_share":0.003,"stale_share":0.588,"repost_share":0.023,"time_to_fill_p50_days":18,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":135000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"Alation","optional":true},{"name":"Collibra","optional":true},{"name":"Databricks","optional":true},{"name":"Embeddings","optional":true},{"name":"Informatica","optional":true},{"name":"Pentaho","optional":true},{"name":"Presto","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-23T23:15:54Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"Function\nProductOur Company\nWe’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers - from banks to theme parks ­- can focus on achieving the incredible with data.\nIf you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate - and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team - and who get excited about making a real-world impact with data.\nJob description\nWe are seeking a senior Solutions Architect with 10+ years of experience designing, validating, and delivering enterprise data management solutions. This role will own the technical architecture and solution development for modern data platforms that span open table formats, object storage, lakehouse architectures, data governance, compliance-aware architecture, streaming data pipelines, metadata services, federated query environments, and AI-ready data foundations.\nThe ideal candidate is a hands-on architect who can move fluidly between strategy, architecture, validation, and customer-facing guidance. They should be comfortable building reference architectures, proving technical patterns in lab environments, partnering with engineering and product teams, and helping customers understand how Hitachi platforms can support governed, compliant, scalable, high-performance data management initiatives.\nCore Mission\nOwn the technical validation, architecture, and solution development of modern data management platforms for Hitachi environments, with emphasis on open, governed, compliant, interoperable, and AI-ready data architectures.\nOpen table formats, especially Apache Iceberg\nFile and object storage architectures, including S3-compatible platforms\nData lake and data lakehouse architectures\nData governance, compliance, metadata management, lineage, and policy enforcement\nCompliance-aware data architecture, including privacy, retention, classification, auditability, and regulatory controls\nData preparation, ETL, ELT, and batch processing patterns\nStreaming data pipelines and real-time data movement\nAI-ready data foundations for analytics, RAG, and generative AI use cases\nMetadata catalogs, data catalogs, and catalog interoperability\nFederated query, data virtualization, and multi-engine query environments\nCustomer-facing reference architectures and solution guidance for Hitachi platforms\nKey Responsibilities\nDesign and validate end-to-end data management architectures that combine object storage, open table formats, query engines, governance services, compliance controls, and data pipeline technologies.\nDevelop reference architectures for data lakehouse platforms using technologies such as Apache Iceberg, Parquet, Spark, Kafka, Flink, Airflow, and S3-compatible storage.\nBuild and document technical patterns for data preparation, ETL, ELT, batch processing, and streaming pipelines that support production-grade customer deployments.\nDefine architectural guidance for metadata catalogs, data lineage, data quality, data classification, PII discovery, policy enforcement, auditability, retention, and compliance operating models.\nEnsure solution architectures account for compliance requirements early in the design process, including privacy, security, regulatory alignment, data residency, retention, classification, and access governance.\nValidate interoperability between Hitachi platforms and modern data ecosystem components, including catalog services, query engines, data engineering tools, and AI data services.\nCreate customer-facing solution briefs, design guides, technical white papers, demos, and best-practice documentation.\nPartner with product management, engineering, field teams, and strategic customers to translate business and technical requirements into repeatable solution architectures.\nSupport proof-of-concept activities, technical workshops, and executive-level solution discussions with customers and partners.\nEvaluate emerging technologies in open table formats, data lakehouse architectures, federated query, AI data management, governance frameworks, and compliance-aware data management practices.\nServe as a subject matter expert for modern data management, helping position Hitachi platforms as trusted foundations for governed, compliant analytics and AI workloads.\nRequired Qualifications\n10+ years of experience in solutions architecture, data architecture, data engineering, enterprise storage, analytics platforms, or related technical roles.\nProven experience designing production data platforms, not simply consuming data services or operating prebuilt environments.\nDemonstrated ability to architect data platforms with compliance in mind, including privacy, retention, audit, classification, policy enforcement, and regulatory considerations.\nStrong ability to translate complex technical concepts into clear customer-facing guidance, reference architectures, and executive-ready solution narratives.\nHands-on experience validating architectures in lab, proof-of-concept, or customer deployment environments.\nAbility to work across engineering, product, field, partner, and customer teams to drive solution development from concept through validation and enablement.\nMust-Have Skills\nModern Data Platforms\nDeep understanding of data lakes, data lakehouse architectures, object storage architectures, S3-compatible storage patterns, and how these designs support governance, security, compliance, and auditability.\nStrong knowledge of Apache Iceberg, Parquet, and open table format concepts; Delta Lake experience is a plus.\nAbility to explain why open table formats matter, including metadata management, schema evolution, transactional consistency, time travel, multi-engine access, and interoperability.\nWorking knowledge of metadata catalogs and how they support table discovery, governance, policy enforcement, compliance workflows, auditability, and query engine integration.\nData Engineering\nHands-on experience building ETL, ELT, batch processing, and data preparation architectures.\nProduction experience with data engineering tools such as Apache Spark, Kafka, Flink, Airflow, and Pentaho PDI.\nAbility to design data pipelines that integrate streaming, batch, transformation, metadata, storage, governance, and compliance controls.\nExperience with architectures that combine Kafka, Spark, PDI, Iceberg, and object storage for governed, compliant data preparation and analytics.\nData Governance\nStrong experience with cataloging, metadata management, data lineage, data quality, data classification, PII discovery, policy enforcement, auditability, retention, and compliance support.\nFamiliarity with governance platforms such as Collibra, Alation, Microsoft Purview, Informatica, DataHub, or OpenMetadata.\nUnderstanding of governance and compliance operating models, including stewardship, ownership, policy definition, classification, access controls, audit readiness, retention policies, and compliance workflows.\nAbility to connect governance and compliance practices to technical architecture decisions across storage, catalog, query, pipeline, and AI layers.\nAI Data Foundation Experience\nExperience supporting data foundations for AI, generative AI, analytics, and RAG pipelines.\nUnderstanding of vector embeddings, semantic metadata, metadata enrichment, AI governance, data preparation for AI, and vector database concepts.\nAbility to explain why AI initiatives require governed, compliant, trusted, explainable, and well-documented data.\nKnowledge of how lineage, quality, classification, compliance controls, and metadata improve trust, explainability, and operational readiness for AI workloads.\nLakehouse Query Engines and Federation\nExperience 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.\nUnderstanding of data federation, data virtualization, predicate pushdown, query optimization, catalog integration, governance-aware query access, and compliance-aware data access controls.\nAbility to design architectures where multiple engines can safely access shared lakehouse data through governed, compliant metadata and catalog services.\nAs required by the equal pay and transparency acts, the expected base salary for this position is: $135K to $150k. Expected on-target earnings: $157K to $173K.\nThe expected pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi Vantara’s bonus/variable/commission pay programs, where applicable, and are subject to the program’s conditions and restrictions.\nAbout us\nWe’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.\nFostering innovation through diverse perspectives\nHitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.\nWe are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.\nHow we look after you\nWe help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.\nWe’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. 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