Snowflake Engineer (Snowflake Cortex & Data Engineering

• Design, develop, and optimize Snowflake data solutions supporting enterprise analytics, reporting, and data-driven decision making.
• Build scalable batch and near real-time data ingestion and processing pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.
• Develop and maintain advanced SQL-based solutions, including complex stored procedures, UDFs, views, and reusable data transformation frameworks.
• Design and implement enterprise-grade ELT/ETL pipelines and metadata-driven automation frameworks.
• Optimize Snowflake performance, scalability, reliability, and cost through query tuning, workload optimization, and platform best practices.
• Implement secure, governed data solutions leveraging Snowflake native capabilities, including RBAC, data sharing, and governance controls.
• Design and support enterprise data warehouse, data mart, and lakehouse architectures.
• Integrate data from cloud, on-premises, API, and SaaS data sources.
• Collaborate with architects, analysts, product owners, and business stakeholders to deliver high-quality data products and solutions.
• Provide production support, monitoring, troubleshooting, incident resolution, and continuous platform improvement.
• Support AI and advanced analytics initiatives leveraging Snowflake Cortex, Snowpark, and related Snowflake capabilities.

Data Science & Analysis

Up to 10%

Ability to Obtain Public Trust

• Design, develop, and optimize Snowflake data solutions supporting enterprise analytics, reporting, and data-driven decision making.
• Build scalable batch and near real-time data ingestion and processing pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.
• Develop and maintain advanced SQL-based solutions, including complex stored procedures, UDFs, views, and reusable data transformation frameworks.
• Design and implement enterprise-grade ELT/ETL pipelines and metadata-driven automation frameworks.
• Optimize Snowflake performance, scalability, reliability, and cost through query tuning, workload optimization, and platform best practices.
• Implement secure, governed data solutions leveraging Snowflake native capabilities, including RBAC, data sharing, and governance controls.
• Design and support enterprise data warehouse, data mart, and lakehouse architectures.
• Integrate data from cloud, on-premises, API, and SaaS data sources.
• Collaborate with architects, analysts, product owners, and business stakeholders to deliver high-quality data products and solutions.
• Provide production support, monitoring, troubleshooting, incident resolution, and continuous platform improvement.
• Support AI and advanced analytics initiatives leveraging Snowflake Cortex, Snowpark, and related Snowflake capabilities.

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelors Degree
• FIVE (5) or more years of data engineering experience, including TWO (2) years of hands-on Snowflake experience.
• Experience in SQL development with extensive experience building and optimizing complex queries against large datasets.
• Experience developing and maintaining stored procedures, UDFs, views, and data transformation logic.
• Deep understanding of Snowflake architecture, including Virtual Warehouses, micro-partitions, clustering, caching, and performance optimization.
• Hands-on experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables, Change Data Capture (CDC) patterns
• Experience administering secure, scalable Snowflake environments and implementing RBAC, data access controls, and governance frameworks.
• Experience building scalable ELT/ETL frameworks and enterprise data pipelines.
• Experience with data quality, reconciliation, monitoring, and operational support processes.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with CI/CD pipelines, Git-based source control, Infrastructure as Code (IaC), and automated deployment practices.
• Familiar…