Senior Solutions Engineer
Overview
The US client portfolio is evolving rapidly, with a focus on complexity and expectation. We partner with enterprise retailers and high-growth mid-market organizations who rely on us to design and deliver robust, scalable, and insight-led data platforms. This role is a hybrid position that blends hands-on engineering, solution architecture, and senior stakeholder engagement.
What You'll Be Doing
Take ownership of the end-to-end solution lifecycle; from shaping technical approaches through to delivery and optimisation.
Lead the design and evolution of our cloud-native data platform, ensuring scalability, resilience, and readiness for AI use cases.
Architect and build end-to-end data solutions, including large-scale pipelines for analytics and advanced data applications.
Act as a senior technical advisor to US-based clients, translating business needs into pragmatic, scalable solutions.
Own delivery across complex, multi-stakeholder environments, balancing speed, quality, and long-term platform sustainability.
Partner with clients to navigate ambiguity, prioritize effectively, and drive outcomes, identifying and mitigating technical and delivery risks early.
Champion best practices across data quality, governance, security, and reliability.
Evaluate and introduce emerging tools and technologies to improve performance and accelerate delivery.
Engineering Leadership & Collaboration
Coach and mentor engineers, fostering a high-performing, collaborative engineering culture.
Work closely with Product, Delivery, and Customer Success teams to shape and execute solutions.
Establish and uphold engineering and architectural standards across projects.
Contribute to hiring and developing engineering talent as the team scales.
Act as a bridge between commercial, product, and technical teams, ensuring alignment and clarity.
Who We're Looking For
Proven experience working within a data engineering tech stack.
Advanced proficiency in T-SQL and Python.
Hands-on experience with Databricks and modern cloud data ecosystems.
Background in solution architecture and designing production-grade data platforms.
Confident in client-facing environments, with the ability to influence senior stakeholders.
Comfortable operating in fast-paced, evolving environments with ambiguity.
Bonus Points
Experience building or enabling data platforms that support AI/ML use cases.
Exposure to additional tools, frameworks, or languages that enhance modern data solutions.
Extras
Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.
Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday!
Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.
Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment.
Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn.
Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts.