Senior Solutions Engineer

Retail Insight

Lead Solutions Engineer designing and delivering robust data platforms for enterprise retailers. Hybrid role in Chicago focusing on AI-enabled decision-making and client engagement.

Posted 6/14/2026full-timeChicago • Illinois • 🇺🇸 United StatesSenior💰 $100,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

You’ll 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, prioritise 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
You will 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

Requirements

What you’ll need

Proven experience working within a data engineering tech stack
Confident with delivering complex, large-scale data solutions across multiple stakeholders
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

Benefits

Comp & perks

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! We also operate summer hours so you can make the most of the sunshine.
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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

T-SQLPythondata engineeringsolution architecturedata platformsdata pipelinescloud-nativeAI use casesdata qualitydata governance

Soft Skills

leadershipcommunicationcollaborationinfluencingproblem-solvingmentoringadaptabilityprioritizationrisk managementstakeholder management