Presales Data Architect - Snowflake

Job Description Role: Pre-sales Data Architect - Snowflake Exp: 12 - 16 Years Primary Skills : Snowflake, Cortex AI, Presales Location: Hyderabad/Pune Mode of Work: Work from Office About the job This leadership role brings together data strategy, enterprise architecture, and delivery ownership. The individual will partner with mid-market and enterprise clients to modernize data ecosystems, accelerate analytics adoption, and create measurable business value through cloud-scale platforms, AI-enabled capabilities, and advanced analytics. The role requires a consulting-led, outcome-focused leader with executive presence, strong technical depth, and the ability to translate business priorities into scalable, secure, governed, and AI-ready data solutions. Our Team: At Value Momentum's Technology Solution Center (TSC), we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through a strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in 4 key areas: Platform, App & Infra Engineering, Data & Advance Analytics, Core Engineering and Software and AI Assurance. Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful project. Data & Advance Analytics TSC offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively Required Skills: 1218 years of experience across data warehousing, analytics, cloud data platforms, or AI-enabled data ecosystems Proven experience leading large-scale data transformation, modernization, migration, and cloud adoption programs Strong ability to define enterprise data architectures spanning cloud warehouses, governed data platforms, analytics, AI, and consumption layers Hands-on experience with SQL, Snowpark using Python or Scala, and major cloud platforms such as AWS, Azure, or GCP Strong working knowledge of Snowflake core services, including: Snowflake Data Cloud / Virtual WarehousesSnowpark (data engineering + ML workloads)Streams, Tasks, Snowpipe, Dynamic TablesGovernance (RBAC, masking, row-level security)Cortex AI (Analyst, Search, LLM Functions) Experience applying Snowflake AI and GenAI capabilities, including:Cortex Analyst (natural language to SQL)Cortex Search for RAG and semantic retrievalLLM functions for summarization, classification, extractionDocument AI and unstructured data processingSecure in-platform AI (no data movement) Responsibilities: Solution Strategy & Architecture Define enterprise data platform strategies across:AWS, Azure with Snowflake Data Cloud positioned as a core data platform Lead solution architecture for:Modern cloud data warehouse, data lakehouse, and secure data sharing architecturesBatch, incremental, and near real-time pipelines using Snowflake-native capabilitiesAI, ML, and GenAI solution patterns built within the Snowflake ecosystem Design scalable data ecosystems leveraging:Virtual Warehouses for workload isolation, elasticity, and cost controlSnowpark for unified data engineering, feature engineering, and machine learning workloadsSecure data sharing and collaboration patterns for internal and external data products Data, Analytics & AI Delivery Oversee end-to-end delivery of:Data engineering solutions using Snowflake SQL, Snowpark, and cloud-native integration patternsEnterprise BI, reporting, semantic layer, and analytics consumption solutionsAI, ML, and GenAI-enabled analytics use cases aligned to business outcomes Drive adoption of:ELT-based processing, workload optimization, performance tuning, and cost governanceDataOps practices, pipeline orchestration, observability, and release governance Leverage Snowflake AI capabilities for:Cortex Analyst for natural language-driven analytics and text-to-SQL use casesCortex Search for semantic retrieval, enterprise search, and RAG-enabled applicationsCortex AI functions for summarization, classification, extraction, and other NLP use casesDocument AI and unstructured data processing for intelligent document workflows Practice & Capability Building Build and scale Snowflake capability across:Data warehouse modernization, migration, and Job Description Role: Pre-sales Data Architect - Snowflake Exp: 12 - 16 Years Primary Skills : Snowflake, Cortex AI, Presales Location: Hyderabad/Pune Mode of Work: Work from Office About the job This leadership role brings together data strategy, enterprise architecture, and delivery ownership. The in