Why This Role Stands Out
This hybrid role offers an exciting opportunity to shape the future of enterprise data architecture by owning end-to-end Snowflake platform strategy and governance. You will thrive here if you possess deep expertise in Snowflake and cloud technologies, enjoy solving complex data challenges, and are eager to drive innovation in a collaborative environment.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
ScalaAWSEncryptionSnowflakeAirflowAzureBigQueryCloudFormationDatabricksGDPRGoogle CloudHIPAAJavaPythonRedshiftStakeholder ManagementTerraformVaultdbt
Job Description
Role Summary: Own end-to-end Snowflake platform architecture, strategy, and governance, ensuring scalability, security, and cost-efficiency across the enterprise data ecosystem.
Key Responsibilities
- Define Snowflake architecture strategy including account structure, database/schema design, multi-cluster warehouse strategy, and resource monitors
- Design enterprise-wide data ingestion, transformation, and consumption architecture (batch, micro-batch, streaming)
- Establish best practices for performance tuning, cost governance, security, and data lifecycle management
- Lead design decisions on data sharing (Secure Data Sharing, Data Marketplace), multi-region/multi-cloud deployments, and disaster recovery
- Define and enforce RBAC/ABAC security models, network policies, encryption standards, and compliance (GDPR, HIPAA, SOX as applicable)
- Architect integration patterns with upstream/downstream systems (data lakes, MDM, BI/analytics, ML platforms)
- Drive platform-level automation: Infrastructure as Code (Terraform), CI/CD for Snowflake object deployment, monitoring/alerting frameworks
- Provide technical leadership across development, data modeling, and DevOps teams; conduct architecture/design reviews
- Own capacity planning, cost optimization initiatives, and vendor/tool evaluation
- Act as the primary technical escalation point and liaison with stakeholders/leadership
Required Skills
- 12+ years in data engineering/architecture, with 5+ years specifically architecting Snowflake solutions at enterprise scale
- Deep expertise in Snowflake internals: micro-partitioning, clustering, query optimization, warehouse scaling strategies
- Strong background in cloud architecture (AWS/Azure/Google Cloud Platform) — networking, IAM, storage, security
- Experience architecting solutions across structured, semi-structured, and unstructured data
- Proven experience with Data Vault 2.0, dimensional modeling, and modern data platform patterns (Lakehouse, Data Mesh)
- Hands-on with IaC (Terraform/CloudFormation) and orchestration (Airflow, dbt Cloud)
- Strong stakeholder management, solutioning, and presentation skills
- SnowPro Advanced Architect certification strongly preferred
Good to Have
- Experience with Snowflake Cortex/AI features, Snowpark (Python/Java/Scala)
- Prior experience as an enterprise data architect across multiple platforms (Redshift, Synapse, BigQuery, Databricks)
- Experience leading large-scale cloud data warehouse migrations
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