Snowflake Solution Architect

Job Description

Job Summary: We are seeking a Snowflake Solution Architect to drive technical sales, solution design, and client engagement for Snowflake-based data solutions. This role requires a deep understanding of Snowflakes architecture, data engineering, cloud ecosystems (AWS/Azure/GCP), and analytics workflows. The ideal candidate will work closely with sales teams, customers, and partners to showcase Snowflakes capabilities, provide technical guidance, and ensure successful adoption. Key Responsibilities: Solution Architecture : Act as a trusted advisor to clients, understanding business challenges and recommending Snowflake-based solutions. Design and present Snowflake architecture, data pipelines, and integration strategies tailored to customer needs. Develop proof-of-concept (POC) and demos to showcase Snowflake’s capabilities. 2. Technical Consultation & Client Engagement: Conduct technical discovery sessions with clients to assess their data architecture, workflows, and pain points. Provide best practices for performance optimization, security, data governance, and cost efficiency in Snowflake. Assist in RFPs, RFIs, and technical documentation for customer proposals. 3. Collaboration & Enablement: Work closely with sales, product, engineering, and customer success teams to drive Snowflake adoption. Conduct workshops, webinars, and training sessions for clients and partners. Stay updated with Snowflake’s latest features, roadmap, and industry trends. 4. Integration & Ecosystem Expertise: Provide guidance on integrating Snowflake with ETL tools (dbt, Matillion, Informatica, Fivetran), BI tools (Tableau, Power BI), and AI/ML frameworks (Databricks, Python, TensorFlow). Understand multi-cloud strategies and data migration best practices from legacy systems to Snowflake. Required Skills & Qualifications: Experience: 10+ years in data architecture, pre-sales, or solution consulting, with 3+ years of Snowflake hands-on expertise. Technical Expertise: Deep knowledge of Snowflake’s architecture, SnowSQL, Snowpipe, Streams, Tasks, Stored Procedures. Strong understanding of cloud platforms (AWS, Azure, GCP). Proficiency in SQL, Python, or scripting languages for data operations. Experience with ETL/ELT tools, data integration, and performance tuning. Familiarity with data security, governance, and compliance standards (GDPR, HIPAA, SOC 2). Soft Skills: Excellent communication, presentation, and client engagement skills. Ability to translate complex technical concepts into business value propositions. Strong problem-solving and consultative approach. Preferred Locations: Offshore [Kochi, Trivandrum, Chennai, Pune, Kolkata]Role & responsibilities Preferred candidate profile