Senior Solutions Architect

Key Responsibilities

Lead the Solution Architecture practice, defining its scope, methodologies, and best practices. Design and implement software architectures that are robust, scalable, and easily maintainable. Conduct feasibility studies and cost-benefit analysis for various architecture options. Ensure the successful recruitment and onboarding of new Solution Architects. Champion continuous knowledge transfer and upskilling within the team. Collaborate with cross-functional teams to ensure seamless integration of new technologies and systems. Provide technical oversight and support to customers, as well as customer-facing project teams. Evaluate existing software architecture and recommend improvements. Provide technical guidance and mentoring to engineering teams. Take operational responsibility for delivered solutions, including support agreements. Create and distribute training materials in your area of expertise, including best practices and modeling guidelines. Lead and participate in design reviews, code reviews, and technical presentations.

Qualifications

A minimum of 10 years of experience in a role related to application, data, solution, or enterprise architecture. Bachelor’s degree in Computer Science or a related technical field. Proficiency in multiple high level programming languages, including Python. A strong consultative approach, enabling confident negotiations with customers and colleagues. Comprehensive technical skills in data management, including data modeling, analytics, quality, lineage, and security. Familiarity with Business Intelligence tools like Power BI and big data technologies such as SQL / NoSQL, Spark, BigQuery. Experience with public clouds, particularly Google Cloud Platform, and knowledge of network security concepts, identity providers, and application hosting. Proven experience in designing and implementing scalable cloud architectures, ideally within Google Cloud Platform, to support high-availability and fault-tolerant systems. Hands-on experience with Kubernetes, including deploying, managing, and scaling containerized applications. Experience with OpenShift is a nice-to-have. A DevOps mindset, familiarity with Git, CI / CD, and deployment environments.

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