Senior 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.

• 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
• TEN (10) or more years of data engineering experience, including 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.
• Experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables and 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.
• Familiarity with production support, observability, incident management, and operational readiness best practices.

What Would Be Nice To Have:

• Hands-on experience implementing Snowflake Cortex capabilities and AI-powered data solutions.
• Experience with Cortex AI functions, semantic search, intelligent data applications, and AI-driven analytics.
• Experience leveraging Snowpark (Python) for advanced data engineering, analytics, and AI/ML workloads.
• Understanding of Retrieval-Augmented Generation (RAG), vector search, LLM-powered applications, and generative AI use cases within Snowflake.
• Experience with dbt and modern analytics engineering practices.
• Strong Python development experience.
• SnowPro Core, SnowPro Advanced, or other Snowflake certifications.
• Experience supporting regulated industries or large enterprise environments.
• Experience designing cloud-native data products that support machine learning, advanced analytics, and AI initiatives.

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.