Big Data Solutions Architect Lead

3 weeks ago


London, Greater London, United Kingdom Hitachi Vantara Corporation Full time
Company Overview:
We are GlobalLogic, a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.

As a pioneer in this field, we have developed a comprehensive portfolio of solutions that enable businesses to stay ahead of the curve. Our team consists of experts who share a passion for innovation and customer satisfaction.

About the Role:
This is an exciting opportunity to join our team as a Data Architect. You will be responsible for designing and implementing data architectures that drive business growth and improvement.

You'll benefit from working with cutting-edge technologies and collaborating with talented professionals who share your passion for data-driven solutions. In return, you'll enjoy a competitive salary package and a dynamic work environment that fosters creativity and innovation.

Salary: £120,000 - £180,000 per annum

About You:
We're looking for a highly motivated and experienced professional with a deep understanding of databases and analytics. You should have hands-on experience with relational databases, data warehousing, big data, and NoSQL systems. Additionally, you should have expertise in data governance, data modeling, and metadata management.

Our ideal candidate will have excellent communication skills, be able to work effectively in a team environment, and possess a strong problem-solving attitude. If you're passionate about data engineering and willing to learn and grow with us, we'd love to hear from you.

Responsibilities:
- Design and implement data architectures that meet business requirements
- Develop data visualizations and POCs to explain the case for data-driven outcomes
- Collaborate with stakeholders to discover and analyze data capture systems/sources

Requirements:
- Deep understanding of databases and analytics, including relational databases (such as SQL Server, MySQL, Oracle), data warehousing, big data (Hadoop, Spark), NoSQL, and business analytics.
- Understanding of big data use-cases and Hadoop-based design patterns.
- Experience with data profiling, source system analysis, and data modelling.
- Ability to explain principles of data modelling and maintain data models for different business domains.

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