Lead Software Engineer Data Infrastructure Jobs

Senior Engineering Manager — Lab Execution Platform : Women’s Health About the Role This is your chance to own a platform that lab scientists rely on every single day—and to rebuild it from the ground up. You'll lead maintenance of our off-the-shelf Lab Execution System while driving its transition to a custom, in-house platform. Every improvement you ship makes lab operations faster, makes scientists' lives easier, and ultimately helps improve patient health outcomes. The work is real, the impact is immediate, and the customers are just down the hall. You'll treat Lab Operations and R&D as your primary customers, partnering with them to build an intuitive, efficient, scalable Lab Execution platform they'll love using. You'll lead a small, sharp team in a fast-moving Kanban or Scrum workflow, lean hard into a "do more with less" mindset, and put AI to work multiplying what your engineers can accomplish. You'll stay close to the code while leading with impact and kindness, because the best teams are healthy teams. Key Responsibilities Technical Leadership & Development Own the design, build, and maintenance of both the off-the-shelf and custom Lab Execution platforms, keeping high-throughput lab processes running without a hitch. Build an AI-forward team that reaches for modern tooling to move faster and ship smarter. Stay hands-on—dive into the code and test the system yourself to make it better. Build and scale cloud-based microservices and front-end applications that power real lab workflows. Set the bar for technical excellence: reliability, performance, and a user experience people actually enjoy. Own the CI/CD pipeline and lock in quality with automated testing. Architect infrastructure that scales effortlessly and stays cost-smart. Customer-Focused Collaboration Be the bridge between engineering and lab users, turning real-time feedback into rapid improvements. Build tight relationships with Lab Operations, R&D, and stakeholders so their needs stee

About the role Sana Biotechnology is growing, and we are hiring new team members who believe in the potential of engineered cells as medicines, who want to challenge the status quo, and who lead with the desire to work on novel ideas. You will join the Beta Islet Team at the Cambridge location to optimize 3D expansion and differentiation in stem cell (SC)-islet differentiation. As a Senior Scientist, you will execute optimization experiments critical to scaling up our differentiation process. The ideal candidate should have ample experience handling bioreactors and performing directed PSC differentiation in 3D. The ability to work in a highly collaborative environment and learn from each other will be essential to your success. What you’ll do Execute routine 2D and 3D PSC expansion, passaging and directed SC-islet differentiation Design optimization experiments with the goal to achieve a highly scalable and robust 3D SC-islet differentiation process that is compliant to manufacturing standards Optimize the differentiation protocol to achieve highly pure on-target populations Hands-on experience with closed systems (tube welder, sealer, single-use assemblies) Expertise in controlled bioreactor setup, operation, automation, and process control (DO, pH, perfusion, agitation) Collaborate and communicate findings with other team members Maintain excellent scientific documentation and contribute to SOP development Assure compliance with all relevant lab safety and biosafety regulations Demonstrate Sana’s core values and the attributes that support these core values (Lead from every seat, Thrive as a team, Make it happen) Engage in crucial conversations by providing and receiving feedback supporting the growth and development of team member Demonstrate ability to engage and effectively influence team members across multidisciplinary teams while prioritizing multiple projects and meeting deadlines Drive curiosity, scientific rigor, and excellent problem-solving skill

SLSQ427149 Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first‑mover advantage in today’s ultra‑competitive landscape. As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the insurance vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest Reinsurers, based in Munich. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the Insurance/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes. The impact you will have: p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value. p]:pt-0 [&>p]:mb-2 [&>p]:my-0"> You will demonstrate compelling value in every engagement, leading confident,

Senior Service Designer Location: London (Hybrid) | Practice Area: Product & Experience | Type: Permanent Design with impact. Lead with empathy. Transform experiences. The Role Capco is looking for a Senior Service Designer to help create customer-centric products and services that drive meaningful change in financial services and energy. You’ll work on complex transformation programmes addressing today’s most relevant challenges, from advancing inclusive design in high-street banking to helping global organisations adopt customer-driven operating models. You'll also help clients identify where AI-enabled capabilities can enhance customer experiences and service delivery in a responsible and user-centred way. What You’ll Do Facilitate senior-level workshops and lead discovery activities to define experience design strategies. Translate user needs into concepts, service blueprints, and artefacts that align business strategy with user needs. Identify opportunities to incorporate AI-enabled capabilities, such as personalisation or automation, into service concepts where they enhance customer and business outcomes. Support the design of customer journey management approaches, including AI-enabled insight where appropriate to improve service performance and decision-making . Oversee end-to-end design delivery, managing roadmaps and timelines. Promote the value of design across multi-disciplinary teams and client stakeholders. Become a trusted advisor to clients, identifying and leading new opportunities that address their challenges. What We’re Looking For Strong expertise in service design methods and customer experience practices. Proven ability to lead change and influence senior stakeholders. Experience in Customer Journey Management, including specialist tools such as Theydo and how analytics support journey optimisation. An understanding of how AI-enabled capabilities can enhance service design and customer experience outcomes. Experience working in agile, cros

Principal Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the architecture of data platforms driving the future of financial services. The Role As a Principal Azure Data Engineer ( Databricks ) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients modernise their data capabilities. Working with cross-functional teams, you'll guide clients on technical strategy and best practices while ensuring quality, security, and governance standards are maintained across deployments. You'll also champion AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Architect and lead the end-to-end delivery of Databricks -based data platforms across Azure environments. Design secure, scalable data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services, applying AI-enabled engineering approaches where appropriate. Establish and promote engineering best practices across the data lifecycle, ensuring robust governance, quality, and operational excellence. Partner with clients to define technical strategy, data architecture, and governance frameworks that align with business objectives. Mentor engineering teams, develop internal capability, and encourage the responsible use of approved AI tools and automation to enhance delivery and collaboration. What We're Looking For Proven expertise with the Databricks platform, including Unity Catalog, Delta Lake, orchestration, and enterprise-scale Azure deployments. Strong technical skills in Python , PySpark , and distributed data pr

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

Applied AI & Analytics - Principal Consultant Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Lead AI-enabled data and analytics programmes that deliver measurable impact across Financial Services. Lead the AI future. The Role You’ll lead complex, AI-enabled data and analytics programmes across the financial services sector, combining strategic leadership with deep expertise in applied AI, machine learning and advanced analytics to help clients deliver measurable outcomes at scale. What You’ll Do Scope, prioritise and shape AI and analytics initiatives across top-tier financial institutions Lead end-to-end delivery, from problem definition through to delivery, balancing business value, technical feasibility and data readiness Own delivery outcomes across AI-enabled initiatives, working hands-on with data scientists, engineers and client stakeholders Provide leadership and mentoring to data scientist and AI engineers, supporting capability growth across analytics, AI and ML Represent Capco’s Data Practice externally, contributing to AI-focused propositions, partnerships and thought leadership What We’re Looking For Proven experience leading AI-driven data and analytics programmes within consulting or complex enterprise environments Strong expertise across applied AI, machine learning, advanced analytics and their integration into modern data platforms to guide delivery, challenge design decisions and ensure solutions scale in production Knowledge about evolving cutting-edge AI technologies - including Agentic AI, GenAI advancements, Knowledge Graphs etc. Demonstrated ability to translate AI and analytics capabilities into clear business value for senior stakeholders Experience designing, governing and scaling AI solutions within regulated Financial Services environments Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experie

Data & AI Strategy Consultant – Manager/Senior Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Craft bold strategies. Inspire data-driven transformation. Lead the AI future. The Role Join Capco's Data Strategy & Advisory team as a Manager or Senior Manager, shaping enterprise-level AI and data strategies for the world's leading financial institutions. This is a high-impact role for strategic thinkers passionate about the intersection of data, AI and business value. You will guide clients in envisioning and realising AI-driven competitive advantage—beyond tooling and beyond pipelines—while helping organisations adopt AI-enabled ways of working responsibly, balancing innovation with governance, human judgement and measurable business outcomes. What You'll Do Partner with C-suite clients to define strategic AI ambitions, aligning enterprise data and AI capabilities with business priorities, competitive differentiation and long-term value creation. Act as a subject matter expert on emerging AI and data technologies, advising clients on how to responsibly adopt innovations—including Generative AI, Agentic AI and intelligent automation—to accelerate business outcomes. Lead the definition of enterprise data and AI strategies, identifying high-value use cases and translating them into practical roadmaps that balance opportunity, risk, governance and organisational readiness. Facilitate executive workshops, visioning sessions and strategic decision-making, developing compelling board-level narratives and investment cases while using AI-enabled insights and approved AI tools to enhance analysis and strategic recommendations. Collaborate across Capco's Engineering, Architecture, Risk, Product, Innovation and Data teams to ensure strategic recommendations are actionable, commercially viable and aligned with responsible AI principles. Beyond client delivery, you will also: Contribute to Capco's perspective on how AI is reshaping

Senior Data Architect Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future. Empower data transformation. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Financial Services clients. In this senior consulting role, you'll guide clients through their data transformation journeys—defining strategy, designing architecture and building scalable, cloud-based platforms. You'll help organisations create modern data foundations that enable advanced analytics, AI and future digital capabilities, while championing AI-enabled ways of working and responsible architecture practices. What You'll Do Lead agile consulting engagements focused on modern data architecture, cloud transformation and the design of scalable platforms that support analytics and AI workloads. Define and implement enterprise data strategies across programmes and business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities. Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles. Act as a trusted advisor to clients, translating complex technical concepts into business outcomes while collaborating with multidisciplinary teams across architecture, engineering, analytics and AI. What We're Looking For Proven experience in enterprise data architecture, cloud data engineering and large-scale platform design within complex environments. Deep knowledge of data modelling practices, including conceptual, logical and physical modelling, with experience designing architectures that support

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted Contribute to team enablement by mentoring peer

Senior Data Scientist Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement. What You’ll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments. Develop and prototype ML models to solve complex business challenges using modern techniques and tooling. Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight. Guide and coach data science pods, supporting skill development and solution design. Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable. What We’re Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practi

Datadog is seeking a strategic, data-driven, and collaborative Area Vice President, Enterprise Security Sales to lead our Enterprise Security Sales organization and scale Datadog’s security business through a tightly integrated co-sell motion with Enterprise Account Executives. This senior leader will own the Enterprise Security strategy, ensuring security resources are deployed effectively to influence pipeline creation, deal progression, and multi-product adoption across Datadog’s largest and most strategic enterprise accounts. This senior leader will be responsible for driving market expansion and establishing Datadog as a trusted strategic partner to CISOs and security leadership teams. The role sits at the intersection of GTM design, sales execution, cross-functional orchestration, and customer value creation—ideal for a leader passionate about scaling high-growth security businesses. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Recruit, build, manage, and develop a world-class team of Enterprise Security Directors and Enterprise Security Sales Specialists. Own Enterprise Security revenue contribution and influence targets, ensuring consistent attainment through effective co-selling with Enterprise AEs. Inform and evolve Datadog’s Enterprise Security overlay strategy, including coverage models, specialist-to-AE ratios, rules of engagement, and prioritization frameworks. Define and own the Enterprise Security pipeline generation strategy within a co-sell / overlay model, establishing clear rules of engagement for when and how Security Specia

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. What You’ll Do: Work with your AE to generate pipeline. Includes validating spokes, aligning messages to target personas, working the customer's technical organisation through your own network and meeting customers where they are: conferences, meetups or on-site Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, solution workshops, etc. that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives and in circumstances where the demo is the whole impression. Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and prospect input to PM and engineering teams Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Contribute to team enablement by mentoring peer

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers Who You Are: 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment Skilled at navigating multi-stakeholder environments and adapting communication style t

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri