Expert Support Engineer - Snowflake

Scope:

• This individual defines the 3-to-5-year technical vision for the enterprise data platform, functioning as the ultimate technical authority for Snowflake across the organization.

• The role involves driving enterprise-wide topology design, multi-region disaster recovery, and cross-organizational data monetization strategies.

• The individual will partner directly with VPs, C-level executives, and external vendors to solve unprecedented scale and business challenges

Technical Environment:

• Snowflake Platform: Multi-Cluster Warehouses, Snowpipe, Tasks, Streams, Zero-Copy Cloning, Time Travel, Apache Iceberg tables.

• Data Engineering & Scripting: Advanced SQL, Python (Snowpark), Java/Scala (UDFs/UDTFs), dbt (Data Build Tool).

• Integrations & Orchestration: Apache Airflow, Fivetran, Kafka, Spark, Trino, external catalogs (AWS Glue, Polaris).

• Governance & Security: Hierarchical RBAC, Dynamic Data Masking, Row Access Policies, Object Tagging, Secure Data Sharing.

• Platform Enhancements: Snowpark Container Services, Snowflake Cortex (AI/ML), Search Optimization Service, Materialized Views.

• DataOps/Agile: CI/CD pipelines, Git, GitHub Actions/GitLab, Terraform (Infrastructure-as-Code), Agile delivery.

What you'll do:

• Design & Architect: Design multi-account, multi-region Snowflake topologies for global data sovereignty and disaster recovery. Architect decentralized Data Mesh and Data Clean Room solutions.

• Develop & Deliver: Pioneer the adoption of cutting-edge platform capabilities (Snowpark Container Services, Cortex AI) to unlock new enterprise capabilities.

• Guide & Govern: Chair the Data Architecture Review Board. Establish the ultimate engineering baselines, CI/CD frameworks, and security postures adopted by hundreds of engineers globally.

• Operate & Optimize: Define enterprise operational KPIs. Ensure high confidence from audit, security, and executive stakeholders by designing overarching compliance and governance frameworks.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.

• 12+ years of IT/Data experience, with 7+ years of Snowflake experience (operating at a petabyte-scale enterprise level).

• Recognized industry expert with a track record of designing multi-cloud or multi-region data topologies.

• Deep expertise in organizational FinOps strategies, legal data compliance boundaries, and executive technical communication.

• Demonstrated ability to lead organizational transformations, moving legacy enterprise systems to modern, decoupled data lakehouse architectures.

• Snowflake Certifications - Multiple SnowPro Advanced certifications expected.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours Find out here:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.