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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect-68464 - **Company:** Hitachi, Ltd. - **Location:** Reading, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon S3, Application Integration Architecture, Batch Processing, Information Systems, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Microsoft SQL Server, NoSQL, Cloud Services, SQL Databases, Data Streaming, Talend, Enterprise Data Management, Data Processing, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Git, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Real Time Data, Apache Kafka, Data Management, Physical Data Models, Restful APIs, Docker, Microservices - **Published:** August 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88048396/1 ## About the Role * 10+ years of experience across data architecture, data engineering, or enterprise data platform development. * 5+ years leading data engineering initiatives and delivering enterprise-scale data solutions. * Proven experience designing and owning enterprise data architecture, not just developing individual pipelines. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline. Core Data Architecture * Strong expertise in conceptual, logical, and physical data modeling. * Deep knowledge of data warehousing, ETL/ELT, Data Lakes, and Lakehouse architectures. * Experience designing distributed, scalable, high-performance data platforms. * Strong understanding of batch, streaming, and event-driven data processing. Cloud & Data Platforms * Strong experience with AWS. * Experience with AWS data services including S3, EMR, Glue, and Redshift. * Strong experience with Snowflake or comparable modern cloud data platforms. Data Engineering Hands-on/architecture experience with: Spark | Kafka | Airflow | Talend | dbt | Python | SQL Databases Experience across relational and NoSQL platforms such as: SQL Server | PostgreSQL | Amazon Aurora | DynamoDB Architecture & Integration Strong understanding of: Data Lake/Lakehouse | Event-Driven Architecture | Microservices | REST APIs | Data Modeling DevOps Experience with: Kubernetes | Docker | Git | CI/CD | Infrastructure as Code Strong understanding of Agile delivery, DevOps, automation, monitoring, and operational best practices is expected. ## Description Job Title: Senior Data Architect / Enterprise Data ArchitectMeet Our Team Join our Data & Analytics organization, where we design and modernize enterprise-scale data platforms that power business intelligence, advanced analytics, AI/ML, and enterprise reporting. You will collaborate with business stakeholders, product managers, solution architects, data engineers, and AI/ML teams to establish scalable data architectures and modern cloud-based data ecosystems. The team focuses on building secure, reliable, high-performance data platforms using modern cloud, Lakehouse, streaming, and data engineering technologies. What You'll Be Doing * Define and maintain enterprise data architecture, including conceptual, logical, and physical data models. * Architect scalable cloud data platforms, data warehouses, data lakes, and lakehouse solutions. * Lead architecture and implementation of ETL/ELT, batch processing, streaming, and real-time data integration solutions. * Design enterprise data solutions supporting BI, analytics, AI/ML, and reporting initiatives. * Partner with business stakeholders, product managers, architects, and engineering teams to translate business requirements into scalable technical architectures. * Establish architecture patterns and standards for data ingestion, transformation, storage, processing, integration, and consumption. * Design distributed, scalable, highly available, and high-performance data architectures. * Ensure data platforms meet requirements for performance, reliability, security, monitoring, automation, and availability. * Provide technical leadership to data engineering teams and guide implementation of enterprise data solutions. * Support event-driven architectures, APIs, microservices, and modern data integration patterns. * Drive engineering best practices across Agile, CI/CD, DevOps, containerization, and Infrastructure as Code. * Evaluate emerging technologies and recommend platforms, tools, and architecture improvements to modernize the enterprise data ecosystem. * Collaborate with AI/ML and analytics teams to enable data consumption for advanced analytics and AI use cases., We 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)