Job
Description
Solution Architect role. Key responsibilities Data and AI Platform Design and Architecture : Design and architect end-to-end solutions for data platforms, integrating data lakes, warehouses, and advance analytics capabilities, primarily using Databricks, Snowflake and AWS cloud, aligning to business requirement emphasizing security, compliance, and governance. Create and maintain technical capability models and architecture blueprints to guide current and future-state implementations. Develop and maintain reference architectures, blueprints, and solution design patterns for data platform. Guide the integration of modern database technologies, including SQL and NoSQL databases. Design ML platform solutions, to deliver end-to-end ML lifecycle, from exploration to deployment to serving and monitoring. Design scalable and modular Gen AI platform solutions that integrate with existing data ecosystems on AWS. Define reference architectures for implementing LLMs, retrieval-augmented generation (RAG), and prompt engineering. Architect and oversee the technical implementation of a data and AI platform and applications, in line with compliance, governance and security standards. Guide the adoption of MLOps and LLMOps best practices for Gen AI, ensuring efficient deployment, monitoring, and lifecycle management of AI models. Ensure the governance and security principles established by the PMI Infosec team are adhered in all data and AI platform solutions, ensuring compliance with PMI IT policies and standards. Conduct regular security reviews in collaboration with the security team and submit architectural designs to the review board for evaluation and approval. Collaboration and Communication: Collaborate with business and technical stakeholders to gather requirements and define strategies for data platform modernization. Work closely with cross-functional teams to ensure successful implementation of architectural solutions. Technology and Vendor assessment: Participate in evaluation and recommendation of emerging data and AI technologies, leading proof-of-concept initiatives, and pilot projects, ensuring alignment with business and technology platform needs. Best Practices and Standards: Establish and enforce Data platform best practices, standards, and guidelines. Collaborate with different Architectures teams (Enterprise, solution, data, and security) to establish design pattern factory and take lead on democratizing the design patterns for reusability. Create and deliver reusable technical assets and design patterns that help to accelerate the adoption of data and AI solution on AWS platform. Architectural Guidance and Documentation: Create and maintain comprehensive documentation for all data and AI platform solution. What we need Technical Proficiency: Extensive hands-on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS, leveraging SaaS, IaaS, and PaaS offerings. Minimum 3 years experience in designing data platforms using Databricks. Architecture experience with Snowflake, dbt and Matillion is also desired. Experience and good understanding on Cloud infrastructure, networking and IAM services on AWS. Proven experience in designing AI/ML platform solutions, including ML lifecycle management, MLOps and Gen AI Familiarity with generative AI capabilities, patterns, and technology stacks, including emerging trends. Database Knowledge: Proficient with relational databases and NoSQL databases, such as Document DB and Graph DB. Skilled in working with both structured and unstructured data. Integration: Strong knowledge of data integration methods, including messaging, queuing, change data capture, and data virtualization. BI/Visualization Nice to have experience on BI tools like Power BI, Graph Visualization reporting. Data Concepts and Management: Solid understanding of data lake, data mesh, and data fabric architectures. Hands on experience in data ingestion, processing, metadata management, data security, privacy, and governance. Architectural Expertise: Proficient in architecting and documenting data and AI platform solutions at various levels using solution architecture methodologies and best practices. Communication Skills: Excellent oral and written communication skills, with the ability to effectively convey technical concepts to both technical and business audiences. Snowflake, Solution Architect
