Lead Solutions Engineer

What You'll Be Doing

• Lead the design, delivery, and optimization of end-to-end data solutions.
• Architect scalable, resilient cloud-native data platforms.
• Build and oversee large-scale data pipelines and analytics solutions.
• Partner with clients to translate business challenges into practical technical solutions.
• Guide delivery across complex projects, balancing quality, speed, and long-term sustainability.
• Evaluate emerging technologies and identify opportunities to improve performance and accelerate delivery.

Ledership & Collaboration

• You'll be a technical leader both internally and externally, helping to raise standards, develop talent, and strengthen client relationships.
• Mentor and coach engineers, fostering a collaborative, high-performing culture.
• Work closely with Product, Delivery, and Customer Success teams to shape solutions.
• Define and uphold engineering and architectural standards.
• Support the growth and development of the engineering team.
• Act as a trusted advisor to clients and a bridge between commercial and technical teams.

Qualifications

• Proven experience in data engineering and modern data platforms.
• A background in solution architecture and designing production-ready data solutions.
• Demonstrable expertise in T-SQL and Python.
• Hands-on experience with Databricks and cloud-based data ecosystems.
• Experience delivering complex projects across multiple stakeholders.
• Confidence working directly with customers and influencing senior decision makers.
• The ability to thrive in fast-moving environments where priorities evolve.

Plus Leadership & Collaboration

• Experience building data platforms that support AI or machine learning workloads.
• Exposure to additional modern data tools, frameworks, or programming languages.