We at Online are seeking a skilled Data Architect to join our Data Services division. You will lead the design and implementation of cutting-edge data architectures that elevate business operations and play a pivotal role in shaping the data landscapes of our diverse range of clients.

In Short

Lead engaging workshops and collaborative sessions with stakeholders.
Proactively initiate and lead discovery sessions with business stakeholders.
Develop innovative and impactful data architecture solutions.
Take ownership of instituting and enforcing data governance protocols.
Serve as a technical leader by providing guidance and mentoring to development teams.

Requirements

University degree in Computer Science or related IT discipline.
8+ years experience in building scalable data architectures.
Proficiency in data modelling and database design.
Familiarity with relational and NoSQL databases.
Proven experience with ETL tools and data integration.
Competence in data governance and security practices.
Exposure to cloud-based data solutions.
Strong analytical and communication skills.
Exceptional leadership and collaboration skills.
Familiarity with Agile development methodology.

Benefits

Opportunity to work with cutting-edge technologies.
Collaborative and innovative work environment.
Professional development and growth opportunities.
Flexible working arrangements.

Obsglobal

Online Business Systems is a forward-thinking company specializing in data services, dedicated to enhancing business operations through innovative data architecture solutions. With a focus on collaboration and strategic visioning, the company works closely with diverse clients to analyze their unique business requirements and develop robust data solutions. Online Business Systems emphasizes data governance, security, and quality management, ensuring that their clients benefit from scalable and reliable data architectures. The company fosters a culture of technical leadership and continuous improvement, leveraging emerging technologies and best practices to optimize data performance and accessibility.

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