Manager, Data Science Solution Architect

Job Description

**Job Description**As a Solution Architect, you will be collaborating with business and IT stakeholders to support a future-state vision by defining requirements, principles, and models within a specific technology process or function. Your role will involve working closely with the enterprise architecture team to develop technology roadmaps, standards, best practices, and guiding principles. You will provide your subject matter expertise and technical capabilities to oversee specific applications in architecture forums and workshops, aiming to evaluate and introduce new capabilities based on the strategic roadmap. Your responsibilities will also include ensuring seamless integration with the existing ecosystem, supporting project teams in implementing new technologies, and providing input on key technology purchases to align IT investments with business strategies.**Key Responsibilities**- Determine appropriate technical architectures for various models and solutions.- Recommend technologies and configurations to solve business problems effectively.- Define and document data science architectural patterns.- Ensure project compliance with architecture guidelines and processes.- Provide guidance and support to development teams during implementation.- Develop processes for executing AI/ML workloads and optimize systems for performance.- Stay updated on the latest AI/ML features and best practices.- Integrate SAP BW with SAP S/4HANA and other data sources.- Review and approve high-level architecture designs.**Qualifications Required**- Bachelors degree in computer science or a related field of study.- 10 years of experience in a global company in data-related roles, with at least 5 years in data science.- Proficiency in Databricks and analytical application frameworks like Dash, Shiny, React.- Experience in data engineering using common frameworks such as Python, Spark, distributed SQL, NoSQL.- Strong leadership in complex solution designs within a multi-cloud environment.- Familiarity with various analytics techniques including statistics, machine learning, optimization, and simulation.- Knowledge of software engineering practices and tools for design, testing, source code management, CI/CD.- Deep understanding of algorithms and tools for developing efficient data processing systems.**Note:** The additional details of the company were not provided in the job description. **Job Description**As a Solution Architect, you will be collaborating with business and IT stakeholders to support a future-state vision by defining requirements, principles, and models within a specific technology process or function. Your role will involve working closely with the enterprise architecture team to develop technology roadmaps, standards, best practices, and guiding principles. You will provide your subject matter expertise and technical capabilities to oversee specific applications in architecture forums and workshops, aiming to evaluate and introduce new capabilities based on the strategic roadmap. Your responsibilities will also include ensuring seamless integration with the existing ecosystem, supporting project teams in implementing new technologies, and providing input on key technology purchases to align IT investments with business strategies.**Key Responsibilities**- Determine appropriate technical architectures for various models and solutions.- Recommend technologies and configurations to solve business problems effectively.- Define and document data science architectural patterns.- Ensure project compliance with architecture guidelines and processes.- Provide guidance and support to development teams during implementation.- Develop processes for executing AI/ML workloads and optimize systems for performance.- Stay updated on the latest AI/ML features and best practices.- Integrate SAP BW with SAP S/4HANA and other data sources.- Review and approve high-level architecture designs.**Qualifications Required**- Bachelors degree in computer science or a related field of study.- 10 years of experience in a global company in data-related roles, with at least 5 years in data science.- Proficiency in Databricks and analytical application frameworks like Dash, Shiny, React.- Experience in data engineering using common frameworks such as Python, Spark, distributed SQL, NoSQL.- Strong leadership in complex solution designs within a multi-cloud environment.- Familiarity with various analytics techniques including statistics, machine learning, optimization, and simulation.- Knowledge of software engineering practices and tools for design, testing, source code management, CI/CD.- Deep understanding of algorithms and tools for developing efficient data processing systems.**Note:** The additional details of the company were not provided in the job description.

Keyskills :
Solution ArchitectureEnterprise ArchitectureData ScienceGovernanceSecurityApplication Lifecycle ManagementData PrivacyNegotiationProblem SolvingAnalysisCommunicationSAP BWPythonSparkNoSQLMachine LearningOptimizationSimulationSoftware Eng