Data & Analytics Solutions Architect (Azure + Snowflake + Cortex)

Must Have Technical/Functional Skills:

• 14+ years of experience in Enterprise Data Architecture, Azure Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.

• Proven experience in Enterprise Solution architecture using Azure, Snowflake, Cortex and related technology components across the Data to Insights end to end value chain.

• Strong hands-on expertise in Azure Data Services, Snowflake Data Cloud, Snowflake Cortex AI, Python, SQL, Spark, and Data Modeling.

• Proven experience designing and implementing enterprise data platforms, Data Lakehouse architectures, Data Warehousing, and modern analytics solutions.

• Strong understanding of Snowflake Architecture, including virtual warehouses, Snowpipe, streams & tasks, data sharing, workload management, performance tuning, and cost optimization.

• Experience building AI-enabled analytics solutions using Snowflake Cortex AI Functions, Cortex Search, Cortex Analyst, Cortex Agents, GenAI, and RAG-based solutions.

• Expertise in Data Engineering including ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps practices.

• Strong knowledge of Enterprise Data Architecture, including data models, data products, semantic layers, lakehouse and warehouse patterns, and master/reference data management.

• Experience implementing Security, Governance, and Compliance controls including IAM/RBAC, encryption, privacy, masking, auditability, retention, and responsible AI practices.

• Proven experience leading architecture definition, HLD/LLD preparation, NFR assessment, migration planning, technical governance, and production readiness activities.

• Experience supporting cloud transformation initiatives, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.

• Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.

• Preferred certifications in Azure Solutions Architecture, Azure Data Engineering, Snowflake (SnowPro), Data Management, Enterprise Architecture, Security, or AI/ML.

Roles & Responsibilities:

• Engage with business and technology stakeholders to understand data, analytics, AI, and cloud transformation requirements.

• Define end-to-end architecture for modern data and AI platforms using Azure, Snowflake, and Snowflake Cortex AI.

• Design secure, scalable, and resilient data platforms integrating Azure Data Services, Azure Data Lake Storage, and Snowflake.

• Architect batch, near-real-time, and streaming data pipelines supporting enterprise reporting, analytics, and AI use cases.

• Design Snowflake account, database, schema, virtual warehouse, data-sharing, and workload-management patterns.

• Develop AI-enabled analytics solutions using Cortex AI Functions, Cortex Search, Cortex Analyst, and Cortex Agents.

• Establish data governance, security, metadata, lineage, observability, privacy, and responsible AI controls.

• Lead data platform modernization, migration, and cloud transformation initiatives.

• Define reference architectures, engineering standards, reusable patterns, CI/CD, and DataOps practices.

• Provide technical leadership across solution design, implementation, testing, migration, deployment, and production readiness.

• Conduct architecture reviews, identify risks and dependencies, and guide delivery teams on mitigation actions.

• Drive performance, reliability, and cost optimization across Azure and Snowflake environments.

• Collaborate with data engineers, AI specialists, platform teams, and client stakeholders to deliver production-ready solutions.

• Support solutioning, RFP responses, effort estimation, technical presentations, demonstrations, and client workshops.

• Mentor architects and engineers and contribute to technical assessments, capability development, and knowledge sharing.

• Develop reusable accelerators, implementation playbooks, and best practices for Azure, Snowflake, and Cortex AI solutions