Lead Data Architect

Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re 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 what’s now to what’s 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 don’t 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.

The role

The Digital Platform Data Architect is responsible for defining and managing the overall data architecture for digital platforms, ensuring that data is structured, stored, and accessed efficiently. This includes working with large datasets, integrating data from multiple sources, and implementing data governance policies. The Data Architect will collaborate with stakeholders across the organization to design data models, establish data standards, and support data-driven decision-making.
Key Responsibilities:

- Data Architecture Design:
Design scalable and efficient data architectures that support the organization’s digital platforms and applications.
Develop logical and physical data models that represent business processes and data flows.
Define data storage solutions, including relational databases, data lakes, data warehouses, and NoSQL databases, based on use cases and requirements.

- Data Integration and Management:
Lead the integration of data from various sources, ensuring consistency, accuracy, and timeliness.
Implement data pipelines and ETL (Extract, Transform, Load) processes to facilitate data movement and transformation.
Manage and optimize the performance of databases and data storage systems, ensuring low latency and high availability.

- Data Governance and Security:
Establish data governance frameworks, including data quality standards, data lineage, and metadata management.
Define and enforce data security policies, including data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, HIPAA).

- Data Analytics and Reporting:
Support the development of data analytics platforms by ensuring that data architectures are designed for efficient querying and reporting.
Collaborate with data analysts and business intelligence teams to develop dashboards, reports, and data visualizations.

What you’ll bring

Certifications in data management or cloud platforms (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).
Knowledge of microservices and API-driven data integration.
Proficiency in programming languages such as Python, Java, or Scala.
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Extensive experience in data architecture, data modeling, and database design.
Proficiency with data management tools and technologies, including relational databases (e.g., SQL Server, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud data platforms (e.g., AWS Redshift, Azure Synapse).
Strong understanding of data integration, ETL processes, and data warehousing concepts.
Knowledge of data governance practices, data security standards, and regulatory compliance requirements.
Experience with big data technologies, such as Hadoop, Spark, or Kafka.
Familiarity with data analytics tools, such as Tableau, Power BI, or Looker.

About us

We’re 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.