Lead Data Solutions Architect at Intent HQ

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, Cloud Platforms, Python, Mobile Development, Databricks, Spark, Data Ingestion, Transformation, Storage, APIs, Technical Leadership, Solution Design, Integration, Troubleshooting, Documentation

Industry

Software Development

Description

About Intent HQ Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue-chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy-first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers. We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose-built to handle data at this enormous scale efficiently, delivering tangible results What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies. Today, Intent HQ is home to an exciting, diverse, and fast-growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India, collectively speaking over 15 languages. Recent Awards & Recognition: Best AI Ethics & Diversity Award 2025 - AI World Series Awards AI Business of the Year 2025 - The National AI Awards Analytics Company of the Year 2025 – British Data Awards AI Company of the Year 2024 – British Data Awards FT1000 Europe’s Fastest Growing Companies 2022–2024 – Financial Times & Statista Top 100 Edge Computing Company 2024 – STL Partners Why Join Us High ownership of technical delivery and real influence on how our product succeeds with clients. Opportunity to work on complex, data-driven systems deployed in real-world environments. Close collaboration with product, engineering, and architecture leadership. A fast-paced, outcome-driven environment where delivery quality and customer impact matter. Growth Opportunities: Advance your career in a fast-paced, innovative industry Hybrid role: 3 days per week in our state-of-the-art London office plus access to the onsite gym (including towel serviced showers and changing facilities) About the Role We are looking for a Lead Data Solutions Architect to lead the successful deployment of our data product at client sites. This role sits at the intersection of data engineering, solution architecture, and client delivery. You will take complex data platforms from design through to real-world implementation, ensuring they are robust, scalable, and usable in enterprise environments. This is a hands-on, delivery-focused role for someone with deep expertise in data and modern architecture, who enjoys working closely with engineers, product teams, and clients to turn complex requirements into working systems. You will be accountable not just for how solutions are designed, but for how they are deployed, integrated, and adopted by customers. You will work directly with client stakeholders and internal teams to ensure our platform can be successfully implemented across a range of environments, from large enterprises to smaller, fast-moving organisations. What You Will Be Doing Own the technical design and delivery of our data platform for client implementations. Partner with product, engineering, and client stakeholders to understand business needs, data requirements, and operational constraints. Design pragmatic, scalable data and system architectures aligned with our core product and enterprise architecture principles. Lead technical discovery and solution design for client deployments, including data ingestion, transformation, storage, and consumption patterns. Evaluate existing client platforms and recommend when to integrate, extend, refactor, or replace components. Produce clear architecture diagrams, technical designs, and delivery documentation that teams and clients can execute against. Break down complex delivery initiatives into clear, achievable implementation and migration plans. Provide hands-on technical leadership to delivery teams during build, test, and deployment phases. Oversee integrations across cloud platforms, data tools, internal services, and third-party systems. Identify technical risks early in the delivery lifecycle and define practical mitigation strategies. Support deployment and release activities in client environments, including troubleshooting and issue resolution. Monitor solution performance, stability, and usability post-deployment. Capture delivery learnings and feed improvements back into product, architecture, and delivery practices. Day to Day You will typically: Design and review end-to-end solution architectures for client data projects. Run technical design sessions and deep dives with engineers, product managers, and client teams. Create and maintain architecture diagrams, implementation plans, and lightweight technical documentation for project delivery. Advise internal and client stakeholders on technical options, trade-offs, and delivery risks. Support and unblock teams during client deployments. Review outcomes after release and incorporate lessons learned into future designs. What You Will Deliver Clear, executable architecture designs for data-intensive systems. Production-ready implementation solutions that are successfully deployed in client environments. Implementation and migration plans that simplify complex data and platform changes. Integration designs covering data pipelines, APIs, cloud services, and third-party tools. Post-deployment insights on performance, scalability, and adoption. What We Are Looking For Strong hands-on experience designing and delivering data platforms or complex software systems. Deep knowledge of data architecture, data engineering, and modern cloud platforms. Experience with technologies such as Python, Mobile Development, Databricks, Spark, cloud data services, or similar. Proven experience deploying complex software or data products in client or enterprise environments. Comfortable balancing delivery speed, quality, scalability, and technical debt. Ability to lead and influence product and delivery teams without formal authority. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience contributing to architecture reviews, technical governance, or delivery standards. Our Culture Working for Intent HQ, you have the opportunity to work with cutting edge technology in an environment where you are encouraged to think and act outside traditional methods. We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role, but across the business on a daily basis. We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage. Our DNA is made up of flexibility to all staff with a family friendly approach and focus on personal development. We have high expectations and pride ourselves on our cultural standards. Benefits Flexible working Free breakfast daily (when in the office) 26 days holiday (pro rata) Pension scheme Income Protection with Employee Assistance Programme Life Assurance Oliva Mental Health platform and counselling Higher than statutory maternity/paternity benefits Work socials Wellbeing programme Cycle to work scheme Training opportunities

Responsibilities

The Lead Data Solutions Architect will own the technical design and delivery of the data platform for client implementations, ensuring robust and scalable solutions. They will partner with various stakeholders to understand business needs and lead the deployment of complex data systems.