Presales Platform Security Architect

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.

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.

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.

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.

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.

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.

Platform ArchitectLocation: LondonDuration: 12 Month ContractWe are seeking a dynamic and innovative Platform Architect to join our team. In this role, you will develop and promote cutting-edge technical strategies while comprehensively understanding the interplay between people, processes, and technology.Your ability to adopt a holistic view of the organization will ensure that all business needs are met with cross-functional considerations. You will tackle complex business challenges with strategic and innovative thinking, developing pragmatic solutions while assessing technical impacts.Exceptional stakeholder management skills are essential as you will be negotiating and influencing at all organizational levels, fostering relationships across varying levels of technical capability.Experience in methodologies such as RUP, Agile, ITIL, and DevOps is crucial, along with a deep understanding of a wide array of technology and emerging trends.

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

About OLIXIn the rapidly evolving realm of artificial intelligence, OLIX is at the forefront of innovation, addressing the critical infrastructure gap that has emerged due to unprecedented demand. Traditional hardware architectures are struggling to keep pace, and OLIX is poised to redefine the landscape with our groundbreaking Optical Tensor Processing Unit (OTPU), which delivers unmatched performance and energy efficiency.Role OverviewAs the Software Architect for Platform Integration, you will be a pivotal technical leader, guiding OLIX’s hyperscale AI infrastructure. Your expertise will span across cluster orchestration, platform management, networking, and field engineering, ensuring the seamless operation of our systems.Key ResponsibilitiesDefine the Technical Vision: Collaborate with the Software Engineering Director to establish and maintain the long-term technical roadmap for OLIX, ensuring architectural consistency throughout the platform's lifecycle.Architectural Strategy Implementation: Partner with cross-functional teams to translate business objectives into actionable architectural priorities and identify key areas for technical investment.Set Architectural Standards: Establish design principles, interface contracts, and organizational standards for scheduling, fleet operations, and platform management, ensuring compliance across teams.Technical Decision-Making: Take ownership of critical technical decisions across the platform stack, including orchestration, scheduling architecture, fleet management systems, and deployment strategies.Influence and Leadership: Foster collaboration across teams without relying on direct authority, effectively driving alignment and consensus on engineering decisions.

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

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

Join Relay in Revolutionizing Logistics!At Relay, we are fundamentally transforming the way goods are transported in the digital age. With the backing of Europe’s largest logistics Series A funding ($35M) from visionary investors like Plural—whose portfolio ranges from fusion energy to space exploration—we are growing at an unprecedented pace, surpassing 99.98% of venture-backed startups. We are building an exceptionally talented team that is setting new benchmarks in the logistics sector.Our Mission is to eliminate barriers to commerce. Currently, high delivery costs function as a hidden tax on e-commerce, dictating what can be sold online and who can engage in this space. We aspire to create a world where goods move freely among people, ensuring a seamless and accessible online shopping experience for all.The Team• A dynamic team of approximately 110 individuals, over half of whom are in engineering, product, and data roles.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• Handling thousands of data points for each parcel we manage, with extensive calculations, analyses, and predictions.• A culture that thrives on first-principles thinking, rapid feedback loops, and relentless experimentation.Your OpportunityAt Relay, our network generates data at every interaction—couriers, routes, parcels, sortation, pricing, and demand signals. This data serves as the foundation for every decision we make, especially as we increasingly integrate AI systems for autonomous decision-making.As the Head of Data Platform, you will oversee the infrastructure that transforms raw data into actionable insights. This includes managing the transformation layer (dbt), the semantic layer (Cube), the pipelines that supply them, and the standards that ensure the output is reliable. You will be tasked with ensuring data readiness for human analysts, dashboards, machine learning models, and autonomous agents.This is a pivotal leadership role where you will inherit a high-performing engine. The platform currently supports critical decision-making across all departments, backed by a robust dbt architecture and a semantic layer with strict naming conventions. Your mission is to elevate this 'V1' success into a world-class platform that remains the ultimate source of truth as our complexity scales.You will lead a team of dedicated data and analytics engineers who possess deep technical expertise and take great pride in their work. They are autonomous and have a clear vision of excellence. What they need is a leader who can...

Role overview Wise is hiring a Data Platform Engineer focused on the Database Platform, working primarily with Python. This role centers on improving data processes, maintaining strong performance, and supporting scalable solutions. The work involves close collaboration with teams across the business to deliver reliable and efficient data systems. What you will do Optimize and streamline data workflows for better performance and scalability Work with cross-functional teams to implement effective data solutions Contribute technical expertise to improve Wise’s data architecture Location This position is based in London.

66degrees is seeking a Data Architect for a contract position based in London, UK. This role centers on helping enterprises address business challenges by shaping data management strategies and supporting AI-driven solutions. The team at 66degrees brings together experience from top firms, blending technical expertise with practical industry insight. The company’s mission is to turn complex data into clear, actionable information that drives organizational growth. Collaboration and continuous learning are part of daily life at 66degrees, and the culture encourages both professional and personal development. Equal Opportunity 66degrees is committed to equal opportunity employment. All qualified applicants will be considered without regard to race, color, religion, sex, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status, or any other legally protected class. AI Transparency During the recruitment process, 66degrees uses AI tools such as LinkedIn Recruiter’s Hiring Assistant and interview transcription technology to aid in sourcing, analyzing roles, and capturing interview highlights. The final hiring decisions are always made by the human Talent Team. By applying, candidates acknowledge the use of these technologies during hiring.

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

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

Recursion Pharmaceuticals brings together technology and biology to advance drug discovery. The company’s Recursion Operating System combines machine learning, large-scale experiments, and a proprietary dataset that spans biological, chemical, and patient-related data. Each week, the team conducts millions of wet lab experiments and uses a supercomputing environment to find new connections in biology and chemistry. What you will do Develop, scale, and manage the core data platform. This includes building, operating, and optimizing systems that support querying and exploration across Recursion’s vast datasets, such as a chemistry library with billions of compounds, petabytes of microscopy images, and diverse assay results. Help make complex datasets accessible for scientific teams. Work closely with biologists, chemists, and data scientists to ensure data from different biological models and treatments can be explored and queried, even for new and evolving research questions. Mentor and support colleagues by sharing technical expertise and experience, helping others grow and increasing impact across teams. The team This role joins the Data Lake team, responsible for building and maintaining Recursion’s Data Lake and Data Lakehouse. The group manages both relational and object storage, ensuring all data is discoverable, queryable, and connected. As Recursion grows, the team integrates new data types under the guiding principle that all data flows to the Data Lake. Location London, England; Milton Park, England