Snowflake Architect

Wipro Ltd.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Wipro Ltd. in Bengaluru seeks an experienced Senior Snowflake Architect to drive Snowflake-led transformation initiatives across customers.

The role combines strategic advisory with hands-on design of end-to-end Snowflake ecosystems, including data engineering, governance, and AI-powered solutions. The candidate should have deep Snowflake expertise, strong communication skills for CXO audiences, and a track record of delivering multiple Snowflake implementations while guiding teams and shaping

Qualifications

• Senior-level experience with Snowflake-based architectures.
• Delivery of at least two end-to-end Snowflake implementations or migrations.
• Strong governance, RBAC, and data security knowledge.
• Experience with GenAI/AI use cases on Snowflake.
• Pre-sales support and solution architecture experience.
• Excellent communication with CXO-level stakeholders.

Responsibilities

• Translate business requirements into Snowflake architectures and solutions.
• Design end-to-end Snowflake solutions covering data engineering, governance, security, and performance.
• Develop reusable accelerators and reference architectures.
• Mentor junior engineers and contribute to capability building.
• Stay current with Snowflake roadmap and new features.

Skills

Snowflake architecture

End-to-end implementations

Data governance

Cortex/GenAI on Snowflake

Data engineering

Security (RBAC)

Tools

Snowflake Cortex

Snowpark

Streamlit-in-Snowflake

Dynamic Tables

Data Sharing

Job description

We are seeking an experienced Senior Snowflake Architect to drive Snowflake-led transformation initiatives across customers. This is a strategic practice role requiring close collaboration with customers, sales, pre-sales, partnership, and delivery teams to shape opportunities, build differentiated solutions, support RFPs, and create compelling value propositions. The role requires strong technical depth combined with the ability to communicate value to business and technical stakeholders. The ideal candidate should possess deep expertise across the Snowflake ecosystem, including Data Engineering, AI & Cortex, Governance, Data Sharing, Data Products, FinOps, and Modern Data Architecture, while bringing innovative thinking, automation-led approaches, and consultative problem-solving skills.

Responsibilities

• Partner with sales and pre-sales teams on RFPs/RFIs, proactive pitches, and customer workshops — translating business requirements into Snowflake-based architecture and solutions.
• Act as a trusted technical advisor in customer discussions, workshops, and executive briefings.
• Design end-to-end Snowflake solutions spanning data engineering, data sharing, governance, security, and performance optimisation.
• Develop/design reusable accelerators, automation frameworks, reference architectures, and solution blueprints.
• Architect and advise on Snowflake Cortex (LLM functions, Cortex Search, Cortex Analyst) and AI/ML use cases on the platform.
• Define and implement data governance frameworks — access control, data masking, row/column level security, data classification, lineage.
• Explore and advise on Snowflake ecosystem capabilities including Snowpark, Streamlit-in-Snowflake, Dynamic Tables, and collaboration features (data sharing, marketplace).
• Build and present proactive value propositions, PoCs, and accelerators to prospective and existing customers.
• Drive thought leadership through POVs, blogs, solution assets, and innovation initiatives.
• Mentor junior architects/engineers and contribute to internal capability building (reusable frameworks, playbooks, accelerators), technical hiring, community engagement, and thought leadership.
• Stay current with Snowflake's evolving roadmap and build differentiated offerings leveraging (Cortex, Horizon governance, AI/ML capabilities).

Requirements

• Strong understanding of end-to-end Snowflake offerings.
• Experience delivering at least 2 end-to-end Snowflake implementations or migrations.
• Strong hands-on experience designing and implementing Snowflake architectures (multi-cluster warehouses, data sharing, Snowpipe, Streams/Tasks, Time Travel).
• Expertise in modern data architectures including Medallion, Data Mesh, Data Products, and Lakehouse with a good understanding of cloud platforms.
• Working knowledge of Snowflake Cortex (LLM functions, Cortex Search/Analyst) and applying GenAI/AI use cases on Snowflake.
• Understanding of Agentic AI, RAG architectures, vector databases, and LLM integration patterns.
• Experience with Snowflake governance and security: RBAC, masking policies, row access policies, tagging, Horizon.
• Solid understanding of data modelling (dimensional, Data Vault).
• Experience with ingestion tools such as Fivetran, Informatica, ADF, Qlik Replicate, GoldenGate, or similar would be a value-add.
• Pre-sales experience — RFP responses, solution architecture documents, effort estimation, proposal writing.
• Strong communication and stakeholder management skills; comfortable presenting to CXO-level audiences.
• Proactive, consultative mindset — able to identify opportunities and propose solutions without being asked.
• Ability to work with global customers.
• Strong ownership and ability to work independently on ambiguous, fast-moving requirements.

Required Certifications

• SnowPro Core Certification.
• SnowPro Advanced certification.