Quest to work and learn in a real professional and vying ambience that enables me to cope with the emerging as well as latest technology and scope for widening the spec- trum of my knowledge.
• Conduct discovery calls with data engineers, analytics leads, and IT stakeholders to understand existing data architectures and align Snowflake solutions (e.g., SQL-based transformations, zero-copy cloning, time travel) with use cases such as migration from legacy data lakes or warehouses.
• Prospect into accounts leveraging tools like Salesforce CRM, Outreach, LinkedIn Sales Navigator, and ZoomInfo to identify target personas (Data Engineers, Solutions Architects, IT Managers).
• Position technical value propositions around Snowflake’s decoupled storage and compute, native support for semi-structured data (e.g., JSON, Avro, Parquet), and data sharing via Snowgrid.
• Qualify inbound and outbound leads using frameworks like MEDDPICC, with an emphasis on technical readiness, data modernization timelines, and cloud architecture preferences (AWS, Azure, GCP).
• Collaborate with Solutions Engineers and Account Executives to develop tailored messaging and Proof-of-Concept roadmaps, often referencing ETL tooling (Airflow, Talend, DBT), cloud-native data stacks, or Python-based orchestration workflows.
• Educate prospects on cost optimization via Snowflake’s consumption-based pricing model and data performance features like result caching and clustering keys.
• Maintain high CRM hygiene and regularly analyze campaign data to refine outreach strategy based on key technical interest signals.