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Remote Databricks Architect Jobs in Madison, WI (NOW HIRING)

Based on this role's business requirements, this is a remote position open to qualified applicants ... Snowflake, Databricks, or Microsoft Fabric. * Proven ability to work directly with client ...

Remote Databricks Architect information

See Madison, WI salary details

$10

$70

$96

How much do remote databricks architect jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote databricks architect in Madison, WI is $70.59, according to ZipRecruiter salary data. Most workers in this role earn between $62.74 and $82.36 per hour, depending on experience, location, and employer.

Can you work remotely as an architect?

Remote work is possible for a Databricks Architect, especially with the increasing adoption of flexible work arrangements in the tech industry. Many organizations allow architects to perform their duties remotely, utilizing cloud platforms, collaboration tools, and virtual communication. However, some roles may require on-site presence for meetings, training, or specific project needs.

Does Databricks allow remote work?

Remote Databricks Architects can often work remotely, depending on the company's policies and project requirements. Many organizations in data engineering and analytics support remote work, especially for roles involving cloud platforms and tools like Databricks, which facilitate collaboration and remote access. Candidates should verify specific employer policies and ensure they have the necessary technical setup for remote work environments.

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

Will AI replace Solution Architect?

AI is unlikely to fully replace Solution Architects, as their role involves complex problem-solving, designing scalable systems, and understanding business needs that require human judgment. Instead, AI tools can augment their work by automating routine tasks and providing data-driven insights, allowing Solution Architects to focus on strategic planning and innovative solutions. Success in this role often depends on technical expertise, communication skills, and experience with cloud platforms like Databricks.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in cloud platforms and big data tools may command higher salaries.
What are popular job titles related to Remote Databricks Architect jobs in Madison, WI? For Remote Databricks Architect jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Architect jobs in Madison, WI look for? The top searched job categories for Remote Databricks Architect jobs in Madison, WI are:
Data Lead & Pre-Sales - Remote - USA

Data Lead & Pre-Sales - Remote - USA

FullStack Labs

Madison, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We are looking for an entrepreneurial, client-facing Data Competency Lead to spearhead and scale our newly formalized Data Competency. This is a high-impact, hybrid role, part technical architect, part pre-sales strategist, and part internal practice leader. You will act as the face of our data offerings to executive-level clients while simultaneously serving as the technical north star for our internal data engineering talent.
As a key leader in our competency-driven growth strategy, you will bridge the gap between complex data technologies and business solutions. You'll be responsible for defining our data engineering standards, collaborating with elite technology partners like Snowflake and Databricks, and turning technical pre-sales conversations into multi-million dollar delivery engagements.
What We Are Looking For
  • 10+ years of experience in deep data architecture, data engineering, or technical delivery management within a digital services, tech consulting, or advanced software engineering environment.
  • Proven Pre-Sales Track Record: Clear experience supporting enterprise-level sales cycles, scoping complex technical data initiatives, and structuring advisory or implementation projects.
  • Data Stack Fluency: Deep, hands-on architectural experience with modern cloud data platforms, specifically Databricks and Snowflake, alongside a strong foundational command of enterprise databases and cloud infrastructure (AWS, Azure, or GCP).
  • People & Practice Leadership: Demonstrated success leading a pool of technical professionals, defining engineering competencies, and setting training standards.
  • Executive-Level Communication: Exceptional ability to translate sophisticated data concepts into high-level business value for non-technical stakeholders, while retaining the technical credibility to go deep with client architects.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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