Snowflake Engineer

Data Warehousing Engineer – Snowflake
We are looking for a hands-on Data Warehousing Engineer with strong experience building and supporting production data platforms using Snowflake.
The role requires solid experience across data warehousing, data modeling, ingestion, transformation, performance optimization, governance, and production support. You will work closely with U.S.-based customers and stakeholders and take ownership of solutions from development through production support.
Key Responsibilities:
Design and develop scalable data warehouse solutions using Snowflake.
Build and maintain data ingestion and ELT/ETL pipelines.
Develop dimensional models, data marts, and reusable data structures.
Implement data transformation, validation, reconciliation, and quality controls.
Optimize Snowflake performance, warehouse utilization, and cost.
Implement security, RBAC, data access, and governance standards.
Monitor and support production data pipelines and resolve issues.
Maintain technical documentation, data dictionaries, and lineage.
Work directly with business and technical stakeholders to understand requirements and deliver solutions.
Take ownership of assigned deliverables through implementation and production support.
Required Technical Skills:
Snowflake
Virtual Warehouses and Micro-partitions
Streams, Tasks, and Snowpipe
Dynamic Tables
Time Travel and Zero-Copy Cloning
Secure Data Sharing
Resource Monitors
Performance and cost optimization
Data Engineering & Modeling
Advanced SQL and query optimization
Incremental data loading patterns
Dimensional modeling and Slowly Changing Dimensions (SCD)
Data Vault concepts
Canonical and conformed data models
Data quality and reconciliation
Security & Governance
RBAC and access control
Secure views and policy-based security
PII and sensitive data protection
Data governance and lineage
Preferred Tooling Experience
Transformation: dbt
Orchestration: Airflow, Azure Data Factory, Dagster, or Matillion
Ingestion: Fivetran, Informatica, Kafka, Python/API pipelines
DevOps: Git, CI/CD, Terraform
BI: Power BI, Tableau, or Looker
Experience
4–5 years of hands-on data engineering experience
Strong production experience with Snowflake
Experience supporting live data and analytics platforms
Experience working with U.S. or international stakeholders
Ability to independently own technical deliverables from design through production
Snowflake Certifications:
Snowflake certifications are preferred, including:
SnowPro Core
SnowPro Advanced – Data Engineer
SnowPro Advanced – Architect
SnowPro Advanced – Administrator
Please include your Snowflake certifications and most recent certification date when applying.
We are looking for engineers with strong fundamentals, hands-on production experience, and the ability to take ownership and deliver.

Work arrangement
No