Data Architecture Engineering Senior Professional

Function

We’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.   

If 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.

Key Responsibilities:

• Build data pipelines to clean, transform, and aggregate data from disparate sources.
• Design, build, and maintain ETL processes while working with large and complex datasets.
• Perform quality assurance on imported data and collaborate with multiple teams as needed.
• Manage and design the reporting environment, including data sources, security, and metadata.
• Manage master data, including creation, updates, and deletion.
• Support the data warehouse by identifying and refining reporting requirements.
• Develop and troubleshoot reports and dashboards using single or multiple data sources.
• Evaluate changes and updates to source production systems.

Required Skills:

• Proven work experience as a Data Engineer or in a related role.
• Proficiency in SQL, Reporting, visualization/exploration tools.
• Strong understanding of data methodologies and processes.
• Solid understanding of data engineering principles, including statistical analysis.
• Strong knowledge of metadata management, data modeling, and data governance standards.
• Familiarity with the AWS ecosystem, including Redshift, Airflow, S3, and related services.
• Demonstrated experience handling large datasets and relational databases.
• Knowledge of addressing and metadata standards.
• Ability to work effectively in a dynamic, research-oriented team with multiple concurrent projects.
• Familiarity with AI and ML libraries and frameworks.
• Understanding of data privacy regulations.
• Knowledge on Oracle EBS/Salesforce (Finance, Supply chain modules, etc.,).
• Excellent communication, problem-solving, and collaboration abilities

#LI-PN1

We’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.

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. 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.

We’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. 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.