Platform Architect, Snowflake

• This role is ideal for a highly technical and customer-oriented professional with deep expertise in Azure, Databricks, and the Lakehouse architecture
• 10+ years of experience in data architecture, data engineering, or solution architecture roles
• Deep expertise in Azure cloud services, including Azure Data Lake Storage (ADLS), Azure Synapse, and Azure Fabric
• Strong hands-on experience with Databricks, including Unity Catalog, Delta Lake, Spark, and MLflow
• Proven track record in designing and implementing Lakehouse architectures for large-scale enterprise customers
• Expertise in SQL, Python, and ETL/ELT frameworks for data transformation and analytics
• Strong understanding of data governance, security, and compliance best practices in the cloud
• Excellent communication and stakeholder management skills with the ability to translate technical concepts into business value
• Experience in customer-facing roles (pre-sales, consulting, or customer success) is a plus

Desirable

• We are looking for an experienced Enterprise Data Architect to join our Customer-Facing Solution Engineering Team
• You will play a key role in guiding our enterprise customers on best practices for modern data architecture, helping them understand how Snowflake differentiates and enhances their data strategies
• The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment
• That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful
• It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers
• Engage with enterprise customers to architect scalable, high-performance, and cost-efficient data solutions leveraging Snowflake in conjunction with Azure and Databricks
• Design and optimize data architectures based on Lakehouse principles, guiding customers on best practices for data ingestion, transformation, and analytics
• Lead technical discussions and deliver compelling presentations, demonstrations, and proofs-of-concept (POCs) showcasing Snowflake’s value proposition
• Collaborate with internal teams (Sales, Product, and Engineering) to align solutions with customer needs and Snowflake’s roadmap
• Advocate for Snowflake’s ecosystem by articulating integration patterns with Azure services (e.g., ADLS, Synapse, Fabric) and Databricks
• Stay ahead of industry trends and provide thought leadership on cloud data management, data engineering, and AI/ML enablement
• Educate and enable customers on migration strategies from legacy data warehouses, on-prem solutions, and competing cloud platforms to Snowflake