Senior Solutions Architect (Remote - UK)

Jobgether; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Job summary

Join a fast-growing environment as a Senior Solutions Architect in the UK, where you'll facilitate large-scale data implementations and guide enterprise clients. This pivotal role includes leading technical projects, collaborating with teams, and making a real impact in a high-ownership culture. Fully remote work with competitive salary and career growth opportunities await you at a leading company in data innovation.

Benefits

Competitive salary package

Equity options

Flexible working hours

Generous paid time off

Health and wellness benefits

Inclusive and supportive team culture

Opportunities for career growth

Recognition in global top workplace rankings

Qualifications

• 3–5 years experience in a customer-facing technical role.
• Strong foundation in cloud data platforms and analytics.
• Prior experience with large enterprise accounts.

Responsibilities

• Lead end-to-end implementation of data reliability platforms.
• Create technical documentation and reusable assets.
• Act as a technical partner to the Customer Success team.

Skills

Cloud data platforms

Data lakes

ETL pipelines

BI tools

SQL

APIs

Networking knowledge

Job description

This position is posted by Jobgether on behalf of Monte Carlo. We are currently looking for a Senior Solutions Architect, EMEA in the United Kingdom.

Join a fast-growing environment where data reliability and AI innovation meet real-world impact. As a Senior Solutions Architect, you'll play a pivotal role in helping enterprise clients succeed with large-scale data implementations. You’ll work closely with cross-functional teams to deliver technically sound, scalable, and high-value solutions, while guiding clients across various industries. If you're passionate about helping customers thrive and solving complex technical challenges in a high-growth, collaborative environment — this role is for you.

Accountabilities:

• Act as the technical partner to the Customer Success team, helping to define customer project scope, outcomes, and strategic roadmaps.
• Lead end-to-end implementation of data reliability platforms, especially across complex data lake and cloud environments.
• Develop and share best practices for deploying scalable and effective data solutions.
• Deliver hands-on technical training and enablement to customer engineering and data teams.
• Create technical documentation, playbooks, and reusable assets to support customers and internal teams.
• Serve as the customer advocate across internal teams, relaying feedback and influencing product development.
• Analyze usage trends to identify growth opportunities and improve adoption.
• Manage multiple client engagements with enterprise-level stakeholders and timelines.

• 3–5 years of experience in a customer-facing technical role, ideally within the data or analytics ecosystem.
• Strong foundation in cloud data platforms, data lakes, ETL pipelines, BI tools, SQL, APIs; networking knowledge is a bonus.
• Skilled in solution scoping, architecture planning, and delivering complex implementations to both technical and business audiences.
• Prior experience working with large enterprise accounts and managing cross-functional relationships.
• Comfortable operating in fast-paced, startup environments with high ownership and a bias for action.
• Demonstrated ability to identify process improvements and drive both internal and external efficiencies.
• Willingness to travel up to 25% to meet clients onsite across the EMEA region.

• Fully remote work setup
• Competitive salary package
• Equity options
• Flexible working hours
• Generous paid time off
• Health and wellness benefits
• Inclusive and supportive team culture
• Opportunities for career growth in a high-impact industry
• Recognition in global top workplace rankings

Jobgether Hiring Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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