- You will work closely with the enterprise architecture team to chart technology roadmaps, standards, best practices and guiding principles, providing your subject matter expertise and technical capabilities to oversee specific applications in architecture forums and when participating in workshops for business function requirements
- In collaboration with the enterprise architecture and solution teams, you will help evaluate specific applications with a goal to bring in new capabilities based on the strategic roadmap
- You will also deliver seamless integration with the existing ecosystem and support project teams in implementing these new technologies, offer input regarding decisions on key technology purchases to align IT investments with business strategies while reducing risk and participate in technology product evaluation processes and Architecture Review Board governance for project solutions
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
- Defining and driving successful solution architecture strategy and standards
- Components of holistic enterprise architecture
- Teamwork, facilitation and negotiation
- Prioritizing and introducing new data sources and tools to drive digital innovation
- New information technologies and their application
- Problem solving, analysis and communication
- Governance, security, application life-cycle management and data privacy
Purpose of Role
The Solution Architect will provide end-to-end solution architecture guidance for data science initiatives. A successful candidate will be able to handle multiple projects at a time and drive the right technical architecture decisions for specific business problems. The candidate will also execute PoC/PoVs for emerging AI/ML technologies, support the strategic roadmap and define reusable patterns from which to govern project designs.
Main Responsibilities: -
- Determine which technical architectures are appropriate for which models and solutions.
- Recommend what technologies and associated configurations are best to solve business problems.
- Define and document data science architectural patterns.
- Ensure project compliance with architecture guidelines and processes.
- Provide guidance and support to development teams during the implementation process.
- Develop and implement processes to execute AI/ML workloads.
- Configure and optimize the AI/ML systems for performance and scalability.
- Stay up to date on the latest AI/ML features and best practices.
- Integrating SAP BW with SAP S/4HANA and other data sources.
- Review and sign off on high-level architecture designs.
Career Experiences Required Role Implications
- Bachelor s degree in computer science or related field of study.
- 10+ years of experience in a global company in data-related roles (5+ years in data science).
- Strong proficiency in Databricks and analytical application frameworks (Dash, Shiny, React).
- Experience with data engineering using common frameworks (Python, Spark, distributed SQL, NoSQL).
- Experience leading complex solution designs in a multi-cloud environment.
- Experience with a variety of analytics techniques: statistics, machine learning, optimization, and simulation.
- Experience with software engineering practices and tools (design, testing, source code management, CI/CD).
- Deep understanding of algorithms and tools for developing efficient data processing systems.
