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Snowflake Jobs in Utah (NOW HIRING)

Snowflake Architect

Salt Lake City, UT · On-site

$66.75 - $82.75/hr

Salesforce Architect Design and architect end-to-end Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and other Salesforce products. Gather and analyze business requirements ...

Lehi UT (Lehi 1 A few times per week or Fully Remote) Duration: 11 months (possible extension) We are seeking a Snowflake Administrator to join our team. This role is central to maintaining the ...

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Architect and own LVT's Snowflake environment-performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance. * Develop and enforce semantic models that expose ...

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Architect and own LVT's Snowflake environment--performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance. * Develop and enforce semantic models that expose ...

Project - Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Develop and maintain Snowflake objects (schemas, tables, views) and performant SQL transformations to produce curated, analytics-ready datasets. * Implement workflow automation and scheduling (e.g ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Architect and own LVT's Snowflake environment-performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance. * Develop and enforce semantic models that expose ...

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Snowflake information

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Utah? The most popular types of Snowflake jobs in Utah are:
What are popular job titles related to Snowflake jobs in Utah? For Snowflake jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Snowflake jobs? Cities in Utah with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Utah as of June 2026, with employment types broken down into 53% Part Time, and 47% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.
Senior PS Sales Solutions Architect

Senior PS Sales Solutions Architect

Snowflake

Salt Lake City, UT • On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
Snowflake is a company focused on powering the era of the agentic enterprise, seeking AI-native thinkers across all functions. They are looking for a Senior Professional Services Sales Solutions Architect to engage in selling and delivering Snowflake Professional Services engagements, while also acting as a trusted advisor to customers.
Responsibilities:
• Present Snowflake technology and vision to executives and technical contributors to customers.
• Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
• Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects
• Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy
• Build trust and confidence in Snowflake Professional Services through the delivery of on-site technical/use-case workshops, leadership of video conference meetings, assistance with deep-dive technical issues or questions and public-facing evangelism (LinkedIn, Medium, etc.) of Snowflake
• Collect and communicate common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings
• Drive project teams towards common goals of accelerating the adoption of Snowflake solutions.
• Demonstrate and communicate the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders.
• Create repeatable processes and documentation as a result of customer engagement.
• Create and collaborate on Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake.
• Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own.
• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
Qualifications:
Required:
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
• Minimum 2 years of practical Snowflake experience, leading or participating in services engagements
• Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP)
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI)
• Either extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads, OR;
• Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML. Additionally candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.)
• Software development experience with Python, Java, Spark and other Scripting languages
• Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
• Internal and/or external consulting experience.
• Impeccable communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands-on technologists through C-suite executives.
Preferred:
• Big 5 Consulting experience
• Experience selling or supporting the sales process of technical services at the enterprise level
• Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
• Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau)
• OLAP Data modeling and data architecture experience
• Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life-Sciences etc.
• Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.), cloud networking and security, data governance, ELT tools and BI/presentation layer tools
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.