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.
All your information will be kept confidential according to EEO guidelines.
