Solutions Architect Modern Data Management Platforms

Function

Were Hitachi Vantara the data foundation trusted by the worlds innovators. Our resilient high-performance data infrastructure means that customers from banks to theme parks can focus on achieving the incredible with data.

If youve seen the Las Vegas Sphere youve seen just one example of how we empower businesses to automate optimize innovate and wow their customers. Right now were laying the foundation for our next wave of looking for people who love being part of a diverse global team and who get excited about making a real-world impact with data.

We 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.

The 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.

Own 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.

• Open table formats especially Apache Iceberg
• File and object storage architectures including S3-compatible platforms
• Data lake and data lakehouse architectures
• Data governance compliance metadata management lineage and policy enforcement
• Compliance-aware data architecture including privacy retention classification auditability and regulatory controls
• Data preparation ETL ELT and batch processing patterns
• Streaming data pipelines and real-time data movement
• AI-ready data foundations for analytics RAG and generative AI use cases
• Metadata catalogs data catalogs and catalog interoperability
• Federated query data virtualization and multi-engine query environments
• Customer-facing reference architectures and solution guidance for Hitachi platforms

• Design 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.
• Develop reference architectures for data lakehouse platforms using technologies such as 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 that support production-grade customer deployments.
• 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 account for compliance requirements early in the design process including privacy security regulatory alignment data residency retention classification and access governance.
• Validate interoperability between Hitachi platforms and modern data ecosystem components including catalog services query engines data engineering tools and AI data services.
• Create customer-facing solution briefs design guides technical white papers demos and best-practice documentation.
• Partner with product management engineering field teams and strategic customers to translate business and technical requirements into repeatable solution architectures.
• Support proof-of-concept activities technical workshops and executive-level solution discussions with customers and partners.
• Evaluate emerging technologies in open table formats data lakehouse architectures federated query AI data management governance frameworks and compliance-aware data management practices.
• Serve as a subject matter expert for modern data management helping position Hitachi platforms as trusted foundations for governed compliant analytics and AI workloads.

• 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 not simply consuming data services or operating prebuilt environments.
• Demonstrated ability to architect data platforms with compliance in mind including privacy retention audit classification policy enforcement and regulatory considerations.
• Strong ability to translate complex technical concepts into clear customer-facing guidance reference architectures and executive-ready solution 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 to drive solution development from concept through validation and enablement.

• Deep understanding of data lakes data lakehouse architectures object storage architectures S3-compatible storage patterns and how these designs support governance security compliance and auditability.
• Strong knowledge of Apache Iceberg Parquet and open table format concepts; Delta Lake experience is a plus.
• Ability to explain why open table formats matter including metadata management schema evolution transactional consistency time travel multi-engine access and interoperability.
• Working knowledge of metadata catalogs and how they support table discovery governance policy enforcement compliance workflows auditability and query engine integration.

• Hands-on experience building ETL ELT batch processing and data preparation architectures.
• Production experience with data engineering tools such as Apache Spark Kafka Flink Airflow and Pentaho PDI.
• Ability to design data pipelines that integrate streaming batch transformation metadata storage governance and compliance controls.
• Experience with architectures that combine Kafka Spark PDI Iceberg and object storage for governed compliant data preparation and analytics.

• Strong experience with cataloging metadata management data lineage data quality data classification PII discovery policy enforcement auditability retention and compliance support.
• Familiarity with governance platforms such as Collibra Alation Microsoft Purview Informatica DataHub or OpenMetadata.
• Understanding of governance and compliance operating models including stewardship ownership policy definition classification access controls audit readiness retention policies and compliance workflows.
• Ability to connect governance and compliance practices to technical architecture decisions across storage catalog query pipeline and AI layers.

• 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 database concepts.
• Ability to explain why AI initiatives require governed compliant trusted explainable and well-documented data.
• Knowledge of how lineage quality classification compliance controls and metadata improve trust explainability and operational readiness for AI workloads.

• 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.
• Ability to design architectures where multiple engines can safely access shared lakehouse data through governed compliant metadata and catalog services.

As 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.

The 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 Vantaras bonus/variable/commission pay programs where applicable and are subject to the programs conditions and restrictions.

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Were 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.

Hitachi 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.

We 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.

We help take care of your today and tomorrow with industry-leading benefits support and services that look after your holistic health and wellbeing. Were also champions of life balance and offer flexible arrangements that work for you (role and location dependent). Were always looking for new ways of working that bring out our best which leads to unexpected ideas. So here youll experience a sense of belonging and discover autonomy freedom and ownership as you work alongside talented people you enjoy sharing knowledge with.

Were proud to say were 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. Should you need reasonable accommodations during the recruitment process please let us know so that we can do our best to set you up for success.