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Retail Insight Logo Retail Insight · IT - Software Development

Senior Solutions Engineer

United States, Chicago Employment contract 100000.00 - 120000.00 USD / Year · Job Posted June 16, 2026
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Job Description

Lead. Architect. Deliver. Influence. Our US client portfolio is evolving rapidly, and not just in scale, but in complexity and expectation. We partner with enterprise retailers and high-growth mid-market organisations who rely on us to design and deliver robust, scalable, and insight-led data platforms. Increasingly, these platforms sit at the heart of AI-enabled decision-making, and our clients expect senior technical leaders who can both engineer and influence. To support this growth, we’re hiring a Chicago based Lead Solutions Engineer. This is a hybrid role that blends hands-on engineering, solution architecture, and senior stakeholder engagement. You’ll operate as a trusted technical partner to our clients — shaping solutions, guiding delivery, and ensuring our platform evolves to meet the demands of modern, AI-driven data ecosystems.

Job Responsibility

  • Take ownership of the end-to-end solution lifecycle
  • Lead the design and evolution of our cloud-native data platform
  • Architect and build end-to-end data solutions
  • Act as a senior technical advisor to US-based clients
  • Own delivery across complex, multi-stakeholder environments
  • Partner with clients to navigate ambiguity
  • Champion best practices across data quality, governance, security, and reliability
  • Evaluate and introduce emerging tools and technologies
  • Coach and mentor engineers
  • Work closely with Product, Delivery, and Customer Success teams
  • Establish and uphold engineering and architectural standards
  • Contribute to hiring and developing engineering talent
  • Act as a bridge between commercial, product, and technical teams

Requirements

  • 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

Nice to have

  • Experience building or enabling data platforms that support AI / ML use cases
  • Exposure to additional tools, frameworks, or languages that enhance modern data solutions

What we offer

  • Flexible Working – hybrid work model (typically 2 days in the office) with flexibility based on business needs
  • work from anywhere policy
  • 25 days annual leave (+ bank holidays), increasing with length of service
  • extra day off for birthday
  • summer hours
  • Access to courses through learning platform
  • structured career progression plans
  • Private Medical Insurance
  • healthcare cash plan
  • mental health support via Help@Hand
  • workspace assessment
  • paid volunteer days
  • charity donation through salary sacrifice (company match)
  • Give as You Earn
  • car purchase scheme
  • access to additional benefits including gym discounts
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