Snowflake Data Engineer

On-site in Rosslyn, VA supporting SOC’s client, this Snowflake Data Engineer role combines hands-on platform delivery with high-impact advisory work. You will lead end-to-end design and deployment on the Snowflake platform, building enterprise data pipelines, analytics-ready models, and scalable AI/ML applications. The work includes partnering with business and functional analysts to turn complex needs into practical solution designs, with scope to lead projects or workstreams across data engineering, MLOps, BI, and data governance.

What you’ll do

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

Required qualifications

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to other team members.
• 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 one of: Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed.
• 1+ years of experience in cloud ecosystems (AWS, Azure, GCP) and MLOps principles, including Databricks Platform administration on a cloud provider.
• Ability to travel up to 25% on average, based on work, clients, and served industries/sectors.

Preferred qualifications

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

Technologies

Snowflake, Databricks, Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed, AWS, Azure, GCP, MLOps, BI, AI/ML, Databricks Platform

Employment prerequisites

• Successful completion of a background investigation and drug urinalysis.