Data Architect - Contract Position

Join our dynamic team at Pace Consulting as a Data Architect. In this pivotal role, you will leverage your expertise to design and implement robust data solutions that drive business performance and enhance decision-making. Collaborate with cross-functional teams to ensure data architecture aligns with strategic goals and delivers high-quality insights.

Role Overview Utility Warehouse is looking for a Data Architect to help define and build the company’s data strategy and infrastructure. This role focuses on designing and implementing data management solutions that improve operational efficiency and enable data-driven decisions throughout the business. What You Will Do Design and implement data management systems to support business needs Work with teams across the company to ensure data is accurate, secure, and accessible Support data-driven decision-making by building reliable data infrastructure Location This position is based in London.

Join Tilt as a Senior Data Architect! At Tilt, our mission is clear: Make Commerce Alive. We are revolutionizing the traditional commerce landscape, moving away from outdated store website builders and impersonal marketplaces to create engaging, community-driven experiences for a new generation of merchants. In the UK, millions of enthusiastic shoppers, from sneaker collectors to Y2K fashionistas, have embraced Tilt. Our platform has empowered many sellers to achieve over £1M in earnings, with numerous others surpassing the UK median income. And this is just the beginning!Your Role We are on the lookout for a Senior Data Architect who will take charge of our comprehensive data platform. This hands-on position demands a high level of ownership. You will be tasked with overseeing the architecture, reliability, and scalability of our data warehouse, transformation layer, orchestration, and analytics stack. Your role will involve enhancing our existing systems using tools such as Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards that facilitate intelligent scaling. We seek someone with a profound understanding of data, who can think structurally and design sustainable systems, rather than just writing SQL.Your Responsibilities First 0-3 MonthsGain an in-depth understanding of our current Snowflake warehouse architectureAudit and refine existing dbt models for clarity, performance, and accuracyReview and stabilize Dagster orchestration pipelinesIdentify data quality issues and implement testing standardsEnsure key dashboards in Metabase are supported by reliable, well-structured datasetsDocument the current system architecture and establish architectural standardsAfter 3+ MonthsRedesign and optimize warehouse architecture as necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance within SnowflakeIntroduce stronger observability, testing, and data lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data modificationsCollaborate with product and engineering teams to define data contracts and ownership responsibilities

Join Us in Shaping the Future of AI & DataAt Datatonic, a leading partner of Google Cloud in AI, we are at the forefront of transforming the business landscape for renowned organizations. We harness the potential of cutting-edge technology, specializing in machine learning, data engineering, and analytics, all on the Google Cloud platform. Partnering with us enables clients to secure their future, extract actionable insights, and maintain a competitive edge in an ever-changing environment.Your RoleAs a Principal Data Architect, you will be essential in crafting and executing advanced, scalable data solutions tailored to our clients' needs. Collaborating closely with the Data & Analytics Engineering teams, you will architect, build, and enhance innovative data platforms or transition existing solutions to Google Cloud.This role represents an extraordinary chance for a seasoned data professional with a passion for utilizing cloud technologies to foster innovation and operational efficiency. You will engage with our clients to comprehend their business goals, gather requirements, and design high-performance data architectures that deliver results. If you thrive in a dynamic, technology-centric consulting setting and aspire to make a meaningful contribution to transformative projects, this position is perfect for you.Key ResponsibilitiesInnovate and Deliver Advanced Data Solutions: Spearhead the analysis, design, and implementation of state-of-the-art, data-driven solutions tailored to fulfill our clients' business demands, utilizing the latest Google Cloud technologies.Data Architecture and Governance: Act as a specialist in data transformation, storage, retrieval, security, and governance, ensuring the delivery of scalable, secure, and efficient data solutions.Mentor and Guide Engineers: Provide architectural guidance to engineers, ensuring the development of robust, high-performance solutions consistent with the intended data architecture.Expertise in Data Modeling: Employ your knowledge of various data modeling techniques, including 3NF, Data Vault, Star Schema, and One Big Table (OBT), articulating the advantages and trade-offs of each method while optimizing their implementation in columnar databases like BigQuery.Influence Data Strategy: Collaborate with clients to establish and refine their data strategy, focusing on aspects such as:Data governance and complianceScalable architecturePerformance optimization

Role overview Telefonica Tech seeks a Data Platform Architect based in London. The main focus of this position is to design data solutions that enable clients to better use and manage their information. This role involves collaborating with teams across various functions. The architect will help build data architectures that support growth, maintain reliable data integrity, and deliver strong performance. What you will do Design data platforms that align with client needs for information management Work with cross-functional teams to implement scalable solutions Ensure data integrity and system performance remain high as platforms grow Location This position is based in London.

Req ID: CSQ127R149Location: Remote in the United Kingdom, with occasional travel to the London office and client sites.We are excited to invite applications for several positions within our Professional Services team. Depending on your experience and expertise, this role may be categorized as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.This position is often referred to as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The finalized title will be aligned with your experience, technical proficiency, and customer-facing role.As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) within our Professional Services team, you will engage with clients on short to medium-term projects to tackle their big data challenges utilizing the Databricks platform. Your role will encompass data engineering, data science, and cloud technology initiatives requiring integration with client systems, training, and various technical engagements to maximize the value derived from their data. RSAs are billable professionals who excel at delivering projects as per specifications while ensuring outstanding customer service. You will report to the regional Manager/Lead.The impact you will have:Engage in a variety of impactful technical projects for customers, which may involve designing and constructing reference architectures, developing how-to guides, and turning customer use cases into production.Collaborate with engagement managers to outline a variety of professional services tasks with input from the customer.Assist strategic customers in executing transformational big data projects and third-party migrations, including comprehensive design, build, and deployment of leading-edge big data and AI applications.Consult on architecture and design; initiate or implement customer projects that lead to successful understanding, evaluation, and adoption of Databricks.Provide elevated support for customer operational issues.Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure that the technical components of the engagement meet customer requirements.Work with Engineering and Databricks Customer Support to deliver product and implementation feedback and facilitate swift resolutions for engagement-specific product and support matters.

Are you ready to shape the future of data solutions? Join Databricks as a Data Platform Solutions Architect within our Professional Services team. In this role, you will leverage your expertise to help clients harness the power of data, driving innovation and efficiency in their businesses.As a key contributor, you will collaborate with cross-functional teams to design and implement robust data platforms that meet diverse business needs. Your technical acumen and strategic insight will play a vital role in delivering exceptional service and ensuring client satisfaction.

Role overview Valtech seeks a Data Architect to join its London team. This position plays a key part in defining data strategy and building the architecture that supports business projects. The work centers on using data to drive informed decisions and encourage new ideas across the company. What you will do Collaborate with teams from different disciplines to design scalable data solutions Maintain data integrity, ensure accessibility, and uphold security standards across all systems Provide technical guidance on data architecture throughout project lifecycles

REQ ID: FEQ127R254 Location: Hybrid – London Join our dynamic Professional Services team at Databricks, where we are actively seeking talented individuals for various roles, including Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. This position is ideal for those with a strong background in big data solutions, analytics architecture, or technical consulting. As a Big Data Solutions Architect (Internally known as Resident Solutions Architect), you will collaborate with clients to address their big data challenges using the Databricks platform. This role involves overseeing data engineering, data science, and cloud technology projects, ensuring seamless integration with client systems, delivering training, and executing technical tasks that maximize the value derived from their data. Our RSAs are billable professionals who excel in project execution while providing exceptional customer service. You will report directly to the regional Manager/Lead. Your Impact: Lead impactful technical projects, including the design and construction of reference architectures, and the productionalization of customer use cases. Collaborate with engagement managers to define the scope of diverse professional services based on client input. Guide strategic clients through the implementation of transformative big data projects, including third-party migrations, from initial design to deployment of leading big data and AI applications. Consult on architectural design and assist in bootstrapping or implementing customer projects, fostering a solid understanding and adoption of Databricks solutions. Provide elevated support for customer operational challenges. Work closely with the Databricks technical team, Project Manager, Architect, and client teams to ensure all technical components meet customer requirements. Engage with Engineering and Databricks Customer Support to offer product feedback and facilitate rapid resolution of engagement-specific issues. What We Seek: Extensive experience in data engineering, data platforms, and analytics. Proficient in coding with Python or Scala. Familiarity with at least two major cloud ecosystems (AWS, Azure, GCP) with deep expertise in one. Strong communication skills and a passion for customer success.

About The Dot CollectiveWe are an innovative consultancy with a presence across the UK and EU, dedicated to engineering excellence and empowering individuals to create meaningful impact.Our team utilizes cutting-edge technology stacks and implements agile scrum methodologies for all projects.About YouAre you enthusiastic about data and its transformative potential? Do you thrive on making significant contributions in a short timeframe? If so, we may be the perfect fit for you.A bit about the role:In the past 18 months, The Dot Collective has successfully launched a specialized Data Architecture practice, establishing a strong foundation for innovative, scalable data solutions. This practice is integral to our mission of delivering high-quality, data-driven results for clients in various sectors.As we expand, we are looking for a Data Solution Architect to play a critical role in designing and implementing cloud-native data and AI platforms that truly make a difference.

Join Databricks as a Data Platform Solutions Architect in our professional services team, focusing on emerging enterprises and DNB. In this pivotal role, you will collaborate with clients to design and implement innovative data solutions that drive business transformation. Your expertise will empower organizations to leverage the full potential of the Databricks platform, enhancing their data analytics capabilities.

Senior Data Architect – Wealth & Asset Management. Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of the Wealth & Asset Management industry. Empower data transformation. The RoleCapco is on the lookout for a Senior Data Architect to spearhead and execute intricate data architecture projects for our Wealth & Asset Management clientele. In this pivotal consulting role, you will assist wealth managers, asset managers, and private banks in navigating extensive data transformation initiatives—crafting enterprise data strategies, designing target architectures, and developing scalable, cloud-based platforms that enhance advisor and client interactions, investment analytics, regulatory reporting, and operational efficacy. In addition to client delivery, you will play a key role in advancing Capco’s Wealth & Asset Management data architecture offerings and thought leadership in contemporary cloud-native data ecosystems. What You’ll Do Lead agile consulting projects, delivering cutting-edge data architecture and cloud transformation in Wealth & Asset Management. Define and implement scalable enterprise data strategies across various programs and business units. Design canonical WAM data domains and models (e.g., client/household, portfolio/account, holdings/transactions, instruments & pricing, performance, fees). Architect and deliver cloud-native data platforms (AWS, Azure, GCP) that empower advisor/client journeys and facilitate advanced investment analytics (risk, performance, reporting). Establish integration patterns across core WAM platforms (CRM/advisor, OMS/PMS, wealth back office, custody, market/reference data, reporting). Develop robust data quality, reconciliation, and control frameworks (e.g., holdings vs. books & records/AUM, pricing, corporate actions, fees/NAV). Drive master and reference data strategies (clients, instruments, counterparties, legal entities) in alignment with governance, metadata, privacy, and stewardship. Act as a subject matter expert, translating complex technical concepts into clear business value for senior stakeholders.

Join Turner Townsend as a Smart Data Architect in the Health Construction sector, where you will play a pivotal role in shaping data strategies that drive efficiency and innovation. In this dynamic position, you will collaborate with multidisciplinary teams to develop cutting-edge data solutions that support health construction projects across London and Birmingham.

Req: FEQ127R163 Location: London Skills: Expertise in Data Science, Machine Learning, Artificial Intelligence, Large Language Models, Generative AI, and Big Data technologies like Spark As a Specialist Solutions Architect specializing in Machine Learning Engineering, you will serve as a pivotal technical resource for Databricks customers and the Field Engineering team. Collaborating closely with Solution Architects, you will assist customers in designing and implementing production-grade machine learning applications on the Databricks platform, ensuring alignment with the evolving Databricks Data Intelligence Platform roadmap. You will continually advance your technical acumen by leveraging cutting-edge technologies in Generative AI, LLMOps, and Machine Learning, while also enhancing your influence through mentorship and establishing yourself as an authority in ML. Your Impact: Design and architect production-ready ML workloads for customers on our unified platform, which includes comprehensive ML pipelines, optimization for training and inference, integration with cloud-native services, and MLOps practices. Deliver advanced technical support to Solution Engineers during the technical sales process, covering aspects from feature engineering and model training to tracking, serving, and monitoring—all within a single integrated platform, and participating actively in the Databricks ML Subject Matter Expert community. Work collaboratively with product and engineering teams to voice customer needs, set priorities, and shape the product development roadmap, facilitating the adoption of Databricks’ ML solutions. Enhance customer data science capabilities and apply best practices in MLOps to effectively deploy these capabilities across various domains. Act as a trusted technical advisor for customers developing Generative AI solutions, including Retrieval-Augmented Generation (RAG) architectures, querying structured data using natural language, content generation, and monitoring solutions. Qualifications: Minimum of 5 years of experience in a customer-facing technical role, with a focus on pre-sales or post-sales support across diverse industry sectors. 5+ years of hands-on machine learning experience in at least one of the following roles: ML Engineer: Developing production-grade cloud infrastructure (AWS/Azure/GCP) to support the deployment of machine learning applications, including drift monitoring. Data Scientist: Proficient in modern natural language processing techniques, including vector databases, fine-tuning of large language models (LLMs), and deploying LLMs using tools such as HuggingFace, Langchain, and OpenAI. Graduate degree in a relevant field is preferred.

About Unity AdvisoryUnity Advisory is a pioneering CFO advisory firm established in 2025, supported by Warburg Pincus and with up to $300 million in committed funding. Our mission is to create a modern alternative to traditional large firms, characterized by agility, partnership, and a technology-driven approach.We collaborate with private equity-backed and upper mid-market companies (typically generating revenues of £150m–£1.5bn) across the complete CFO landscape, including finance operations, tax, mergers and acquisitions, digital transformation, and deal readiness. By choosing not to offer audit services, we maintain our independence and focus on delivering outcomes for our clients.At Unity, AI and data are integral to our operations and delivery. We are a company born from AI, not retrofitted with it.The RoleWe are in search of a seasoned and commercially savvy Data Architect to play a pivotal role in shaping Unity Advisory’s AI-native data architecture. Your initial focus will be on internal systems, followed by external client engagements.Phase 1 – Internal Architecture and Platform DesignYou will assist in designing and establishing Unity’s internal data and AI architecture, defining standards, governance, and scalable design patterns that bolster our advisory model.Phase 2 – Client-Facing Data and AI AdvisoryOnce the foundational architecture is established, you will transition into a client-facing role, guiding CFOs in architecting modern, AI-ready data environments that facilitate finance transformation, automation, and value creation in deals.This is an exceptional opportunity to craft a cutting-edge advisory data architecture from the ground up and subsequently bring it to market.

As a Partner Solutions Architect at Databricks, you will play a pivotal role in driving the success of our partners and customers by utilizing your deep technical expertise in data analytics and cloud technologies. You will collaborate closely with various stakeholders, helping to design innovative solutions that leverage the Databricks Unified Analytics Platform to accelerate data-driven decision-making.

About WPP MediaWPP stands as a trusted growth partner for the world's leading brands. Our exceptional talent, reliable data and intelligence, along with world-class partnerships, are unified by our innovative marketing platform, WPP Open, enabling clients to navigate change, seize opportunities, and achieve transformative growth.WPP Media operates as WPP's AI-driven media unit, integrating media, data, and strategic partnerships to provide creative personalization at scale. Through WPP Open and powered by Open Intelligence, clients gain clear insights into the effectiveness of their media investments.For more details, visit wppmedia.com.Position Overview: Lead Cloud ArchitectWPP Media is seeking a Lead Cloud Architect to spearhead technical delivery for Azure-based data engineering and cloud configuration projects within client environments. As the senior technical authority, you will design, architect, and implement modern data platform solutions on Microsoft Azure. Your role will involve establishing CI/CD practices and guiding engineers to adhere to reference architectures and industry standards.You will be a part of the Cloud Architecture team, collaborating closely with Data Engineering, Platform/DevOps, Security, and Client Delivery to ensure that designs translate into robust and cost-effective solutions.

At Databricks, our mission is to empower organizations to tackle the world's most challenging data problems using the Databricks Data Intelligence Platform. As a Senior Delivery Solutions Architect (DSA), you will be a pivotal contributor to this mission. In collaboration with our sales and field engineering teams, you will enhance the adoption and growth of the Databricks platform among our clients. Your role will be crucial in ensuring customer success by providing increased focus and technical accountability to our most intricate clients, helping them optimize their usage of Databricks workloads that they have chosen, and maximizing their return on investment.This position combines technical expertise with commercial acumen. You will drive growth in your assigned accounts and use cases by engaging with key stakeholders, building executive relationships, and orchestrating specialized teams within Databricks. You will develop and implement strategic plans to enhance the efforts of your colleagues. Additionally, you will take on a technical leadership role post-sale across all Databricks products, leveraging your skills and credibility to engage at all organizational levels. You will report directly to a DSA Manager within the Field Engineering organization.Your Impact:Collaborate with Solutions Architects to comprehend the complete use case demand plan for prioritized customers.Lead the post-technical win account strategy and execution plan for the majority of Databricks use cases within our strategic accounts.Assume accountability as the technical leader for specific use cases and customers across various selling teams and internal stakeholders, fostering certainty from uncertainty while driving onboarding, enablement, success, go-live, and healthy consumption of workloads where customers have chosen Databricks.Act as the primary point of contact for technical inquiries or issues regarding the production/go-live status of agreed use cases within an account, often servicing multiple use cases within the largest and most complex organizations.Utilize Shared Services, User Education, Onboarding/Technical Services, and Support resources, while escalating to expert-level technical professionals to carry out tasks beyond your expertise.Develop, own, and execute a perspective on how key use cases can be expedited into production, coordinating with Professional Services resources for delivery.

Chief Solution Architect - Pre-sales, AI & Data TransformationReporting to: Managing Director, UK&IAs a leading partner of Google Cloud in AI and Data Transformation, datatonic empowers organizations with strategic consulting and technical expertise to achieve innovative data solutions in the cloud. We collaborate with our clients to explore the full potential of advanced technologies by leveraging our deep knowledge in machine learning, data engineering, and analytics. By utilizing the Google Cloud Platform, we enable businesses to future-proof their strategies, enhance consumer insights, gain competitive advantages, and achieve significant operational efficiencies through transformative data programs.The RoleWe are in search of a Chief Solution Architect as the inaugural member of our pre-sales team to help define, qualify, and secure our key engagements in data, AI, and Agentic transformations. This pivotal role bridges data & AI consulting, technical advisory, and industry storytelling. You will collaborate closely with the Account Manager and technical/engineering teams to expand our most strategic accounts in sectors such as Telecommunications, Financial Services, Media, and Agencies.Your efforts will guide our clients through a transformative journey, expanding their vision of what is achievable with data and AI, leading to extensive engagements with direct connections to the C-suite. You will conduct initial discovery sessions, outline solutions, shape Statements of Work (SOWs), and articulate datatonic’s offerings in the market.While this role does not require people management skills, you must excel in engaging with technical and business stakeholders, quickly establishing trust and confidence, and be adept at presenting to C-suite and architectural audiences.What You’ll DoPre-Sales LeadershipLead early discovery efforts alongside the Sales team: identify business challenges, qualify opportunities, and convert ambiguity into structured technical narratives.Employ an insight-driven approach to integrate industry best practices in data and AI, guiding clients through their strategic transformations.Design data, ML, and GenAI solutions utilizing Google Cloud.Oversee scoping, estimation, and drafting of Statements of Work and RFP responses in collaboration with Sales and Delivery teams.Assist in RFP responses, solution evaluations, and deal strategies for opportunities exceeding £1m.Strategic AdvisoryFacilitate client workshops to foster understanding and alignment around strategic data initiatives.