About this role

Define scalable, petabyte-scale data lakehouse architectures.
Establish enterprise coding standards, hierarchical RBAC models, and data security best practices.
Architect multi-cluster compute topologies for high-concurrency workloads.
Build low-latency integrations with external compute engines and catalogs.
Provide technical leadership to data engineers.
Lead technical whiteboarding sessions and data strategy workshops with business stakeholders.
Implement robust FinOps monitoring, compute quotas, and warehouse right-sizing routines.
Perform deep root-cause analysis on chronic platform contention issues.

Bachelor’s degree in Computer Science, Data Engineering, IT, or a related technical field.
9–12 years of IT/Data experience, with 5–7+ years specifically in deep Snowflake implementation, architecture, and system design.
Proven experience designing modern data stacks utilizing open table formats (Apache Iceberg) and Data Mesh principles.
Experience in FinOps (resource monitors, chargeback models) and enterprise security (Dynamic Data Masking, Row Access Policies).
Snowflake Certifications
SnowPro Advanced (Architect or Data Engineer) strongly preferred.

Technical Architect – Cloud, Snowflake, FinOps, SnowPro Advanced

Key skills