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Tech Stack
Tools & technologiesAngularApacheCloudKafkaMicroservicesPySparkPythonReactSparkSQL
About the role
Key responsibilities & impact- Lead end-to-end design and implementation of PoCs and PoVs using Snowflake and related ecosystem tools
- Build working prototypes demonstrating Snowflake Cortex, GenAI capabilities, advanced analytics, and modern data architectures
- Develop solution blueprints, architecture diagrams, technical documentation, and PoC implementation guides
- Author reusable PoV frameworks, demo assets, code templates, and automation scripts
- Implement Snowflake features such as Snowpark, Streams, Tasks, Dynamic Tables, and Native App capabilities as part of solution demonstrations
- Design and optimize data pipelines using Snowflake and Spark-based processing frameworks
- Build AI-powered PoCs including intelligent search, conversational analytics, semantic data exploration, and recommendation use cases
- Integrate Snowflake with cloud platforms, external data sources, APIs, and enterprise systems
- Implement real-time and near real-time ingestion patterns for streaming-based PoC use cases
- Establish DevOps and automation practices for PoC environments including CI/CD pipelines and deployment workflows
- Develop data-driven applications and dashboards using Streamlit and UI frameworks where required
- Build backend services and APIs using FastAPI or REST-based frameworks to support solution architectures
- Ensure PoC solutions follow performance optimization, cost efficiency, security best practices, and scalability guidelines
- Collaborate with internal engineering teams to transfer PoC learnings into production-ready patterns
- Mentor solution engineers and architects on Snowflake best practices and emerging technologies
- Stay current with Snowflake roadmap, Cortex enhancements, and GenAI ecosystem advancements
Requirements
What you’ll need- 14+ years with strong architect expertise into Snowflake Solutions Architect and delivery lead
- Strong hands-on experience with Snowflake (minimum 2+ production project implementations)
- Expertise in Apache Spark / PySpark for large-scale data processing and transformation
- Proven experience in building end-to-end PoCs and PoVs for data platform and analytics solutions
- Solid understanding of cloud data architectures and modern analytics platforms
- Strong coding and debugging skills across SQL and Python-based workloads
- Excellent technical communication and documentation skills
- Ability to independently own and deliver complex solution prototypes
- Desired experience with GenAI platforms, Snowflake Cortex, LLM integration, vector search, and AI-powered analytics
- Exposure to streaming platforms and real-time ingestion frameworks (Kafka, Event Hubs, Kinesis)
- Hands-on experience with DevOps and MLOps tools and practices including CI/CD pipelines and automation
- Experience developing interactive applications using Streamlit
- Frontend exposure using React or Angular for solution UI layers
- Backend development experience using FastAPI or REST-based microservices
Benefits
Comp & perks- Support, coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SnowflakeApache SparkPySparkSQLPythonStreamlitFastAPIRESTCI/CDGenAI
Soft Skills
technical communicationdocumentationindependent ownershipmentoringcollaboration