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Snowflake Jobs in Madison, WI (NOW HIRING)

Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP, Oracle, or Workday. The base pay for this position is $78,000.00 - $156 ...

New

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP, Oracle, or Workday. The base pay for this position is $78,000.00 - $156 ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.

Knowledge of the logical and physical data model currently leveraged by a specific business unit and data storage tools such as Snowflake and SQL Server. * Ability to translate complex business ...

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Familiarity with cloud data platforms including Azure, AWS, or Snowflake. * Knowledge of additional ERP platforms such as SAP, Oracle, or Workday. The base pay for this position is $78,000.00 - $156 ...

Knowledge of the logical and physical data model currently leveraged by a specific business unit and data storage tools such as Snowflake and SQL Server. * Ability to translate complex business ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar. * Strong applied knowledge of machine learning and ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.

Showing results 21-37

Snowflake information

See Madison, WI salary details

$36

$68

$85

How much do snowflake jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for snowflake in Madison, WI is $68.12, according to ZipRecruiter salary data. Most workers in this role earn between $60.29 and $77.26 per hour, depending on experience, location, and employer.

What is a Snowflake?

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.

What are the key skills and qualifications needed to thrive in the Snowflake position?

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 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.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

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 continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Madison, WI?

The most popular types of Snowflake jobs in Madison, WI are:

What are popular job titles related to Snowflake jobs in Madison, WI?

For Snowflake jobs in Madison, WI, the most frequently searched job titles are:

What cities near Madison, WI are hiring for Snowflake jobs?

Cities near Madison, WI with the most Snowflake job openings:

Infographic showing various Snowflake job openings in Madison, WI as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $141,693 per year, or $68.1 per hour.

Manager of Strategic Sourcing, Software and Engineering

Zendesk

Madison, WI • On-site

$130K - $168K/yr

Full-time

Re-posted 8 days ago


Job description

Job Description

Manager of Strategic Sourcing, Software and Engineering

Location: Hybrid role in:

Austin, TX

Madison, WI

San Francisco, CA

The Global Strategic Sourcing team helps maximize value and minimize risk through Zendesk's vendor relationships and ensures the organization has the goods and services needed for success.

As Manager of Strategic Sourcing, you will play a key role during the sourcing strategy and execution across software and engineering categories. You'll use your innovative thinking, analytical and negotiating skills to oversee and lead highly complex negotiations, contract review, and usage forecasting to achieve top-line growth and maximize value to the company.

This role encompasses all aspects of the sourcing's responsibilities including category assessment, vendor due diligence, RFx, contract negotiations and vendor management.

Key responsibilities:

  • Strategic Guidance & Influence: Guide and influence business and senior leadership through key strategic projects and procurement strategy, focusing on critical vendor management, integration, and informed purchase guidance aligned to Zendesk growth and partner vision. This includes developing executive-level presentations and analysis for internal partner communications/updates.
  • Forecasting & Data Alignment: Develop, maintain, and validate accurate forecasts for usage, licenses, and capacity for key contracts (e.g., AWS, Google, MongoDB, Snowflake, and others) in collaboration with Engineering, IT, and business units to gather data and identify trends or potential risks to inform contract negotiations and prevent over-commitment or unnecessary costs.
  • AI/LLM Sourcing & Optimization: Lead sourcing strategy, complex negotiations, and vendor diversification for Artificial Intelligence (AI) and Large Language Model (LLM) providers. Analyze and optimize AI/LLM consumption, including token usage and capacity planning, to inform contract negotiations and mitigate financial risk.
  • Sourcing Execution & Cost Management: Lead end-to-end sourcing execution, including market research, RFx strategy development, and acting as an escalation point for contract negotiations partnering with Legal, Security, and IT. Support spend management projects focused on savings, process efficiency, and risk reduction, including total cost of ownership evaluations and pricing audits.
  • Multi-Vendor LLM Strategy: Implement and manage a multi-vendor LLM ecosystem strategy, including coordinating sourcing for frontier labs (e.g., OpenAI, Anthropic), hyperscaler routes (e.g., AWS Bedrock, Gemini/Vertex), and open-weight model providers (e.g., Groq, Baseten) to ensure diversification, cost efficiency, and performance optimization.
  • Commercial Leverage & Commitment Discipline: Drive commercial leverage by maintaining commitment discipline (targeting ~60% of forecasted spend) and pursuing flexible, shorter (6-12 month) renewal cycles with major LLM providers to mitigate market volatility and pricing shifts.
  • AI Productivity Governance: Collaborate with Engineering and IT to manage the governance layer for internal AI productivity tooling (e.g., LibreChat, Claude Code, Gemini) to track seat vs. consumption costs and align model spend with security and legal approvals.

Personal qualities:

  • 5+ years of experience sourcing for a tech or software company
  • Strong software and engineering strategic negotiation skills
  • Proven team player and ability to build and maintain business partnerships
  • Executive level communication and presentation skills
  • Highly motivated towards achieving cost savings and operational improvement goals
  • Demonstrated subject matter expertise in the functional areas of Technology, product and engineering.
  • Proven success leading projects that impact multiple functional areas
  • Flexibility and influence in working in a high growth, high volume environment
  • Demonstrated subject matter expertise in AI infrastructure, including RAG frameworks, AI gateways, and consumption-based pricing models.
  • Understanding of how AI and automation are reshaping the competitive landscape for software and professional services vendors.
  • Proven ability to integrate commercial strategy with a technical ecosystem, specifically leveraging hyperscaler routes for negotiating better terms and model portability.
  • Experience negotiating with vendors offering revenue-based pricing models and managing data usage agreements that involve AI/LLM usage, such as API renewals.
The US annualized base salary range for this position is $116,000.00-$174,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.