Account Engineer - Public Sector/SLED

Snowflake4 days ago

Location

US, Remote

Workplace

Remote

Type

Full Time

Salary

USD 105,000 – 137,812

Level

Junior

Role

Solutions Engineer

Posted

Jul 21, 2026

Full TimeRemoteJunior

The role

Summary

Join Snowflake as an Account Engineer supporting the Public Sector and SLED (State, Local, and Education) markets. This role combines technical expertise with customer-facing engagement, where you'll deliver Snowflake's AI Data Cloud solutions to government and educational institutions. You'll support technical evaluations, proof-of-concept demonstrations, and customer success initiatives while developing deep expertise in cloud data platforms, SQL, Python, and modern data technologies.

What you'll do

Technical Customer Presentations: Present Snowflake's AI Data Cloud technology, architecture, and vision to diverse audiences ranging from technical contributors to C-suite business leaders, tailoring messaging to audience sophistication and business objectives.

Proof-of-Concept Execution: Collaborate with prospects and customers to design, plan, and execute technical evaluations and proof-of-concept demonstrations for Snowflake solutions, working closely with senior team members to translate requirements into technical implementations.

Solution Architecture Guidance: Contribute to developing future-state architectures and technical solutions for customer data challenges, balancing technical capabilities with business outcomes and industry best practices.

Customer Relationship Development: Build and foster trust-based relationships with technical champions, stakeholders, and decision-makers throughout the sales cycle, establishing yourself as a trusted technical advisor.

Technical Expertise Development: Gain hands-on experience with Snowflake's platform through tailored demonstrations, hands-on labs, and structured learning resources while staying current with industry trends, competitive offerings, and emerging data technologies.

Cross-Functional Collaboration: Work closely with Account Executives, Sales Development Representatives, Marketing teams, and Snowflake's partner ecosystem to coordinate customer engagements and ensure successful deal progression.

Public Sector Specialization: Develop specialized knowledge of SLED (State, Local, and Education) market requirements, compliance considerations, data governance needs, and sector-specific use cases for government and educational institutions.

Technical Documentation: Create and maintain technical documentation, architecture diagrams, and solution briefs tailored to customer environments and public sector compliance requirements.

What we look for

Technical

SQL ProgrammingBasic to intermediate SQL knowledge for writing queries, understanding data structures, and supporting customer evaluations on Snowflake's SQL engine.

Python ProgrammingBasic Python proficiency or demonstrated ability to learn quickly; essential for automating tasks, building proof-of-concepts, and understanding data engineering workflows.

Cloud Platform FundamentalsUnderstanding of cloud computing concepts, infrastructure-as-code principles, and familiarity with at least one major cloud provider (AWS, Azure, or GCP).

Data ConceptsFoundational knowledge of data warehousing, data lakes, ETL/ELT processes, and analytics pipelines relevant to enterprise data architecture.

Education

Bachelor's DegreeBachelor's degree in Computer Science, Software Engineering, Information Technology, Business, or related field preferred; equivalent professional experience in technical roles may be considered.

Experience

Technical Role Experience1-3 years of experience in a technical capacity such as Solutions Engineering, Solutions Architecture, Software Development, Data Engineering, or Systems Administration.

SaaS or Cloud TechnologyExperience working with SaaS platforms, cloud data solutions, or cloud technology implementations; familiarity with modern data technology ecosystems preferred.

Customer-Facing Technical RoleBackground in a role that combined technical problem-solving with customer engagement, such as technical support, implementation services, or pre-sales engineering.

Skills

Required skills

SQLAbility to write and understand SQL queries for data analysis and solution validation; critical for demonstrating Snowflake capabilities to customers.

Technical CommunicationStrong ability to explain complex technical concepts clearly to both technical and non-technical audiences, including C-suite executives and government decision-makers.

Problem-SolvingAnalytical mindset with capability to decompose customer challenges, evaluate multiple solution approaches, and recommend technically sound implementations aligned with business goals.

Customer Success OrientationGenuine focus on understanding customer pain points, identifying high-impact solutions, and ensuring customers achieve measurable value from Snowflake investments.

CollaborationAbility to work effectively in cross-functional teams, coordinate with Account Executives, Sales Development Representatives, and internal technical teams to achieve shared outcomes.

Learning AgilityDemonstrated ability to rapidly acquire new technical skills and product knowledge; comfort operating in a fast-paced environment with emerging technologies.

Nice to have

Snowflake Platform ExpertisePrior hands-on experience with Snowflake for data warehousing, analytics, or data lake implementation; familiarity with Snowflake's unique features like Time Travel and multi-cluster compute.

Modern Data TechnologiesExperience with contemporary data platforms including Databricks, Microsoft Fabric, BigQuery, or similar; knowledge of complementary tools like dbt, Apache Spark, or orchestration frameworks.

DevOps and CI/CD ToolingFamiliarity with continuous integration and deployment practices, containerization technologies (Docker, Kubernetes), Git version control, and infrastructure-as-code principles.

Data Science and Machine LearningUnderstanding of data science workflows, machine learning pipelines, model deployment, and governance frameworks relevant to AI-native enterprise solutions.

Public Cloud PlatformsHands-on experience with AWS, Azure, or GCP services including compute, storage, networking, and data services; understanding of cloud architectural patterns and cost optimization.

Python ProgrammingPractical Python experience for data manipulation, automation scripting, or building proof-of-concept applications; ability to read and understand production Python code.

Government and ComplianceFamiliarity with public sector procurement processes, compliance requirements (FedRAMP, HIPAA, SOC 2), data governance regulations, and SLED market dynamics.

Compensation & benefits

Salary

USD 105,000 – 137,812 (annual)

Stock options

Available

Benefits

Competitive Equity and Stock Options

Participate in Snowflake's equity program as a growing company, with stock options that align your success with company growth and long-term value creation.

Comprehensive Health and Wellness Benefits

Comprehensive coverage including medical, dental, and vision insurance with competitive premiums; access to wellness programs, mental health resources, and preventive care services.

Retirement Planning

401(k) retirement plan with company matching contributions to support long-term financial planning and wealth building.

Flexible Time Off and PTO

Flexible paid time off policy enabling work-life balance and personal time management; not limited to a specific number of days for eligible employees.

Professional Development and Learning

Annual professional development budget for certifications, training, conferences, and online courses; access to Snowflake's extensive internal learning resources and training materials.

Technical Mentorship Program

Structured mentorship opportunities with senior engineers and solution architects; dedicated support for career growth and skill development in customer-facing technical roles.

Inclusive and Collaborative Culture

Workplace culture emphasizing inclusion, empathy, and mutual respect; commitment to diversity, equity, and belonging across all organizational levels.

Growth and Career Development

Clear career progression pathways from Account Engineer to Senior Account Engineer, Principal Solutions Engineer, and technical leadership roles; investment in your professional growth.

Interview process

1
Initial Screening Call — Phone or video conversation with a recruiter lasting 20-30 minutes to discuss your background, interest in the Account Engineer role, technical experience, and alignment with Snowflake's culture of curiosity and customer focus.
2
Technical Assessment — Evaluation of your SQL and Python skills through practical coding exercises or technical questions; may include problem-solving scenarios related to data architecture and platform capabilities.
3
Customer Engagement Simulation — Role-play or case study exercise demonstrating your ability to explain technical concepts to customer stakeholders; assessment of your communication skills with both technical and business audiences.
4
Technical Interview with Solutions Engineering Team — In-depth conversation with a senior Account Engineer or Solutions Architect covering Snowflake capabilities, customer problem-solving approaches, and your experience with data platforms and cloud technologies.
5
Behavioral and Values Alignment Interview — Discussion with your potential hiring manager or team member exploring your motivation, collaboration style, learning agility, and alignment with Snowflake's values of innovation, low-ego thinking, and customer obsession.
6
Final Round with Leadership — Conversation with a manager or director from the Public Sector/SLED team to discuss career goals, long-term fit within the organization, and your vision for supporting government and educational customers.