Platform Architect
| Company | Snowflake |
|---|---|
| Location | Menlo Park, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 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.
Responsibilities
- 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.
Preferred Qualifications
- Snowflake experience and certification (e.g., SnowPro Advanced: Architect) are highly desirable.
- Familiarity with competing platforms (e.g., AWS Redshift, Google BigQuery) and hybrid/multi-cloud strategies.
- Understanding of AI/ML and analytics workloads in a modern data ecosystem.
- Industry experience in financial services, healthcare, retail, or other data-intensive sectors.
- Big 5 Consulting experience.
- Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase).
- Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc.