Job Description

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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:

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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:

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Analytics->Azure