Snowflake Data Engineer II

Deloitte • Sacramento, CA

4d • $97,700 - $162,800

About The Position

Deloitte’s AI & Engineering team helps transform technology platforms and operations, drive innovation, and support client success. In this role, you will design and deploy enterprise solutions on the Snowflake platform, advise clients on data strategy, and contribute to data engineering, data science, and business intelligence initiatives. The work focuses on helping clients make effective use of their data and AI investments.

The role involves architecting and implementing Snowflake solutions, overseeing data pipelines and analytics-ready data models, and supporting scalable machine learning applications. You will lead technical discussions with business and functional analysts, translate requirements into solution designs, and provide guidance to stakeholders and colleagues. The position is part of Deloitte’s Government & Public Services practice and its AI & Data offering, which serves government and public higher education clients.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.
• Must be able to obtain and maintain a U.S. government security clearance.
• At least 2 years of real-world experience in a client-facing role advising on and implementing end-to-end solutions on the Databricks platform.
• At least 1 year of Snowflake experience, including hands-on experience with at least one of Cortex AI, Cortex LLM Functions, Cortex Agents, or Arctic Embed.
• At least 1 year of experience in cloud ecosystems (AWS, Azure, or GCP) and MLOps principles, including Databricks Platform administration on a cloud provider.
• Ability to travel up to 25% on average, depending on work and clients.
• Ability to work independently and collaboratively, communicate effectively in writing and verbally, and maintain attention to detail and work quality.
• Ability to build professional relationships, manage and prioritize multiple tasks in a fast-paced environment, meet deadlines, and demonstrate a professional demeanor.

Nice To Haves

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

Responsibilities

• Lead the architecture and implementation of Snowflake solutions, including large-scale data pipelines and production-ready AI/ML models.
• Advise senior stakeholders on data strategy, including data engineering, MLOps, business intelligence, and data governance practices on Snowflake.
• Oversee the design and development of data pipelines, analytics-ready data models, and scalable machine learning applications.
• Lead technical discussions with business and functional analysts and translate requirements into solution designs.
• Lead projects or workstreams and mentor others by providing clear guidance.

Benefits

• Potential eligibility to participate in a discretionary annual incentive program.
• A broad range of employee benefits.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level