Snowflake Data Engineer II

This role supports Deloitte’s work delivering enterprise data and AI capabilities by leading end-to-end solution design and deployment on the Snowflake Platform. The position also includes advising clients on data strategy across engineering, data science, and business intelligence.

Role Summary

As a Data Engineer III, you will lead architecture and deployment of Snowflake-based solutions and guide stakeholders on how to maximize data and AI investments. The work centers on driving innovation and translating client needs into production-ready systems.

Location and Work Arrangement

Rosslyn, VA (onsite)

Compensation

USD 97,700 - 162,800 per year

Responsibilities

• Own the architecture and implementation of advanced Snowflake solutions, from large-scale data pipelines to production-ready AI/ML models.
• Advise senior stakeholders on holistic data strategy, including data engineering best practices, MLOps, BI, and data governance for the Snowflake platform.
• Lead the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
• Facilitate technical discussions with business and functional analysts to convert complex requirements into comprehensive solution designs based on proven project outcomes.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Legally authorized to work in the United States without employer sponsorship, now or in the future.
• Ability to obtain and maintain a US government security clearance.
• 2+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform.
• 1+ years of experience with Snowflake, including hands-on experience with at least one: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
• 1+ years of experience working in cloud ecosystems (AWS, Azure, GCP) and applying MLOps principles, including Databricks Platform administration on a cloud provider.
• Ability to travel up to 25%, on average.

Technologies

• Snowflake
• Databricks
• Cortex AI
• Cortex LLM Functions
• Cortex Agents
• Arctic Embed
• AWS
• Azure
• GCP

Preferred Qualifications

• Strong leadership, communication, and stakeholder management skills.
• Active Snowflake certifications.
• Experience with Spark, Airflow/dbt, streaming, data modeling, or a background in ML/data science including feature engineering, experimentation, or model evaluation.
• Public sector experience (preferred).
• Active public sector security clearance (preferred).

Wage Range Note

The wage range for this role is estimated at $97,700 to $162,800 and takes into account a wide range of factors considered in compensation decisions.