Senior Analyst - Knowledge Services

Job Description:

• The Machine Learning Architect will define and implement the enterprise architecture strategy to enable advanced analytics machine learning and semantic capabilities across the organization
• This role ensures a scalable secure and future ready data ecosystem aligned with business priorities
• The architect will establish standards frameworks medallion architecture and governance in platforms like Snowflake Tableau Cloud and ML Ops pipelines driving innovation and operational excellence

Key Responsibilities:

• Key Responsibilities
• Enterprise Architecture Roadmap Alignment
• Develop and maintain architecture blueprints aligned with initiatives such as ML Data Warehouse Semantic Layer and Medallion Architecture data warehousing
• Translate roadmap priorities into actionable architecture designs that support model deployment governance and advanced analytics
• Platform Integration Enablement
• Architect solutions for Snowflake based ML Data Warehouse feature stores and curated datasets
• Enable interoperability between ML Ops pipelines semantic layers and BI platforms Tableau Cloud PowerBI
• Evaluate emerging technologies for natural language querying and reinforcement learning ecosystems
• Governance Risk Management
• Define and enforce data governance frameworks including lineage metadata and compliance standards
• Establish model risk management architecture to monitor drift decay and business impact
• Scalability Performance Optimization
• Design multi cloud or hybrid architectures for resilience and cost efficiency
• Optimize infrastructure for high performance analytics and ML workloads using containerization and orchestration tools
• Future Ready Capabilities
• Lay the foundation for advanced features such as automated retraining semantic driven insights and natural language data querying
• Support integration of reinforcement learning and real time analytics into the architecture
• Required Skills Experience
• Technical Expertise
• 5 years in data or enterprise architecture roles with strong experience in analytics ecosystems
• Proficiency in Snowflake Azure services and BI platforms Tableau Cloud Power BI
• Familiarity with ML Ops concepts feature stores and CI CD for analytics workloads
• Strategic Leadership Skills
• Ability to align architecture decisions with business objectives and roadmap priorities
• Experience defining governance frameworks and risk management strategies
• Strong collaboration skills across engineering data science and business teams
• Tools Technologies
• Knowledge of containerization Docker orchestration Kubernetes and API design for analytics integration
• Understanding of semantic layer architecture and natural language query enablement

Preferred Skills:

Analytics->Azure