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We are seeking a highly skilled Senior Solution Architect to lead end-to-end architecture for analytics and machine learning platforms. The individual will own data integration across on-premise platforms (Splunk, Cribl, Nifi) and cloud environments (GCP, AWS), ensuring robust design and compliance with enterprise standards. This role demands strong technical expertise, strategic thinking, and the ability to simplify complex concepts for diverse stakeholders.
Job Responsibility:
Contribute to the future reference architecture for analytics and autonomics
Collaborate with solution architects to create implementation plans aligned with domain roadmaps and conduct risk assessments
Analyse platform gaps, recommend solutions, and design data flow structures
Develop and enforce data standards, generate Common Information Models, and map systems/interfaces
Investigate transport technologies for data (stream/batch) and ensure data freshness
Collect, cleanse, and interpret data to deliver actionable insights
Visualise data effectively to tell compelling stories aligned with business goals
Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field
5+ years’ experience in similar roles with large-scale platforms
Hands-on experience in designing and developing analytics and machine learning solutions
Strong knowledge of data integration design patterns and compliance/security standards
Solid understanding of cloud services (GCP, AWS) and IT infrastructure
Familiarity with ETL tools, BPM, and emerging data technologies (NoSQL, Big Data, predictive analytics)
Excellent communication skills to simplify technical concepts for non-technical audiences
Experience in international, distributed teams and multi-disciplinary projects
What we offer:
Opportunity to work on cutting-edge analytics and machine learning platforms
Exposure to global projects and collaboration with diverse teams
Professional growth through challenging, high-impact initiatives
A culture that values innovation, inclusion, and continuous learning