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    Job · 15361514

    Techs To Suit logo

    Senior Snowflake Practice Architect

    Techs To Suit · Bengaluru · onsite · Posted 49d ago

    Not disclosed12–18 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    xperience: 12-18 Years, with 4+ years hands-on Snowflake

    Role Type: Practice architect

    Role Summary

    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.

    Key Responsibilities

    As a key member of the Snowflake practice,

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

    Required Skills

    Snowflake Expertise

    • 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 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 modeling (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 in independently on ambiguous, fast-moving requirements

    Required Certifications

    • SnowPro Core Certification (mandatory)
    • SnowPro Advanced certification (preferred)

    Sourced from foundit

    Skills

    Data MaskingInformaticaAI CortexfivetranSnowparkADFFinOpsGovernanceGolden GateRbacQlik Replicatedata productsdata sharingData Engineeringdynamic tablesModern Data ArchitectureData GovernanceSnowflakeData ModelingStreamlit-in-Snowflakedimensional data vaultrow access policies

    About Techs To Suit

    Techs To Suit logo

    Techs To Suit

    Recruitment

    25

    employees

    2000

    26 years old

    New Delhi, Delhi

    India

    ₹4.4L PA avg

    Avg at Techs To Suit

    About

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