Data Architect-68464
Reading, PA - USA
Job Summary
Function
Cloud & Data EngineeringWere Hitachi Digital Services a global digital solutions and transformation business with a bold vision of our worlds potential. Were people-centric and here to power good. Every day we future-proof urban spaces conserve natural resources protect rainforests and save lives. This is a world where innovation technology and deep expertise come together to take our company and customers from whats now to whats next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We dont expect you to fit every requirement your life experience character perspective and passion for achieving great things in the world are equally as important to us.
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.
- 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.
- 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.
- Bachelors degree in Computer Science Information Systems Engineering or related discipline.
- 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.
- 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.
Hands-on/architecture experience with:
Spark Kafka Airflow Talend dbt Python SQL
Experience across relational and NoSQL platforms such as:
SQL Server PostgreSQL Amazon Aurora DynamoDB
Strong understanding of:
Data Lake/Lakehouse Event-Driven Architecture Microservices REST APIs Data Modeling
Experience with:
Kubernetes Docker Git CI/CD Infrastructure as Code
Strong understanding of Agile delivery DevOps automation monitoring and operational best practices is expected.
#LI-RS2
Were a global team of innovators. Together we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today this is the place for you.
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.
Required Experience:
Staff IC
About Company
Discover how Hitachi Rail is connecting the future of mobility through integrated rail solutions, across rolling stock, signalling, digital technology and more.