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senior data engineer

ai focused data architect

THorizon

<div><h4 class="jobSectionHeader">Your mission</h4>
We are looking for a driven AI-focused Data Architect to join our innovative and international team. Are you motivated to provide your expertise and know-how in efficient data management to the ongoing design studies for the reactors Thorizon is developing? Are you passionate about designing cutting-edge data-management tools, with the goal of designing nuclear reactors for the future? Do you get energized by innovation, and transforming ideas into tangible solutions? Are you a teambuilder that can get the most out of technical experts and specialists, in an innovative and multidisciplinary development environment? 
 
Thorizon is searching for an experienced AI-focused Data Architect to lead the design, governance, and standards of our enterprise data ecosystem. 
 
Our organization aims to establish a structured approach to data management and applications. We intend to design and implement a data infrastructure centered around a unified, scalable, and secure Data Hub strategy in order to accelerate our growth and prepare for the implementation of AI models, while ensuring seamless and comprehensive data sharing and interoperability. 
 
The Data Architect will work closely with our IT support partner and our AI development partners, while collaborating closely with our design engineers and experts in the key disciplines of reactor design and validation. 
 
This is a cross-functional, high-impact role with key responsibility for our accelerating development. 
 
This role is based in Amsterdam, Netherlands or in Lyon, France.<h4 class="jobSectionHeader"> 
In this role you will:</h4>
Structure engineering data and knowledge:<ul><li>
You will define and enforce data governance standards covering data quality, access, security, lifecycle management, and traceability.</li><li>
You will build the foundations of Thorizon&rsquo;s information architecture by mapping key engineering data domains such as design, simulations, tests, requirements, safety, and documentation, and by defining shared models, taxonomies, and metadata structures.</li><li>
You will be expected to bring structure where none currently exists, while respecting the realities of engineering practice.</li></ul>
Connect the engineering lifecycle:<ul><li>
You will design the digital thread that links requirements, functions, design decisions, simulations, validation tests, safety evidence, and regulatory deliverables.</li><li>
This includes defining business objects, their relationships, and traceability rules across the full engineering lifecycle, ensuring that engineering justification can be followed, audited, and reused.</li></ul>
Enable AI-ready engineering data:<ul><li>
You will improve how engineering data is structured, governed, and reused across the organisation.</li><li>
This includes improving data quality, harmonizing nomenclature, reducing duplication, structuring documentation, and enriching metadata at scale.</li><li>
You will contribute to the design of Thorizon&rsquo;s engineering knowledge system, including knowledge models, knowledge graphs, and ontologies, and define the foundations for AI use cases such as search, retrieval, and document generation with fully traceable sources.</li><li>
You should be comfortable working at the boundary between structured data, unstructured technical documentation, and emerging AI systems.</li></ul> 
Ensure trust, security, and adoption: 
<ul><li>
You will ensure that data systems are secure, compliant, and aligned with cybersecurity requirements in a safety critical environment where traceability and integrity are non-negotiable.</li><li>
You will ensure that the data management system complies with export control requirements, where applicable.</li><li>
You will work closely with system design teams in mechanics, chemistry, neutronics, thermal hydraulics, IT and cybersecurity partners, AI development partners, and safety and licensing teams.</li></ul> 
This requires strong alignment skills across disciplines with very different constraints and priorities. 
 
You will also stay connected to external initiatives such as IAEA and Euratom and follow developments in data engineering and AI applied to complex engineering systems, without relying on external maturity to define internal direction. 
 
This is a role where success depends less on defining elegant models, and more on making systems operational in a real, fast moving engineering environment with incomplete structure.<h4 class="jobSectionHeader">
About you:</h4>
We are looking for someone who has already operated in complex technical environments where data structure is not given but must be actively designed and maintained. 
This role is not suitable for someone looking for a purely executional data engineering position or a well-defined enterprise data architecture framework. 
 
You bring:<ul><li>
At least 5 years of experience, ideally up to 10 years, in data architecture or data engineering in complex technical or regulated environments.</li><li>
Proven ability to design data models and governance structures that survive real usage in engineering contexts.</li><li>
Experience working across disciplines and translating between different technical domains.</li><li>
Comfort operating without fully defined upstream structure, while still producing reliable systems.</li><li>
Beyond technical skills, how you work is critical:</li><li>
You work with openness: you make assumptions explicit, surface ambiguity early, and engage constructively with disagreement.</li><li>
You take responsibility: you own problems end to end and do not depend on perfect organisational clarity to act.</li><li>
You contribute to unity across teams: you actively connect disciplines and reduce fragmentation rather than reinforcing local optimisation.</li><li>
You are pragmatic: you prioritise systems that function in reality over theoretically elegant architecture, and you are comfortable iterating in environments where structure is still emerging.</li><li>
Experience in AI applied to engineering or knowledge systems is a strong advantage, as is experience in highly regulated or safety critical industries.</li></ul>
What makes this role unique: 
<ul><li>
You will define the knowledge backbone of a nuclear deep tech program at an early but structurally formative stage.</li><li>
Your work will directly shape how engineers design, validate, and justify a new reactor system.</li><li>
You will operate at the intersection of engineering physics, data architecture, and AI at system level.</li><li>
You will be expected to create clarity in an environment where the operating system is still being built.</li></ul><h4 class="jobSectionHeader">
What you can expect from us:</h4><ul><li>
The opportunity to help realize the most promising reactor technology and advance Europe's energy future</li><li>
Being part of an exceptional team that combines engineering rigor, scientific excellence, and entrepreneurial drive</li><li>
Working in multidisciplinary teams on ambitious missions, with responsibility and meaningful impact from day one</li><li>
A fast-moving deep-tech environment where initiative is valued and people are trusted to make decisions</li><li>
Complex, multidisciplinary challenges that will stretch you and accelerate your growth</li><li>
Competitive compensation and participation in our employee profit-sharing plan</li><li>
An international workplace with offices in the heart of Amsterdam and Lyon</li></ul><h4 class="jobSectionHeader">
About us</h4>
At Thorizon, we&rsquo;re a passionate team spread across Amsterdam and Lyon, all working together to develop new nuclear power solutions. We design and create frontier technology for Molten Salt Reactors (MSRs). 
 
Our purpose is to accelerate the availability of clean energy and help solve the climate crisis. 
 
We are in the development phase and aim to solidify our design through analyses, simulations, experiments, prototyping, and partnerships. At Thorizon, we believe a strongly coupled multidisciplinary technology development requires a culture of full openness and transparency. That&rsquo;s why we foster values like unity, communication, and support to ensure we grow together as a team while achieving our purpose.</div>

AI-focused Data Architect

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

Location: Amsterdam, Netherlands
 About Cognizant Digital Engineering
 Cognizant is a global technology and professional services company that helps organizations modernize technology, reimagine processes, and transform customer experiences at scale. Within our Digital Engineering practice, we combine deep engineering expertise with cutting-edge technologies such as cloud, data, and AI to build innovative, scalable digital solutions.
 Our teams operate in a fast-paced, collaborative environment where innovation and continuous learning are at the core. You will have the opportunity to work on advanced AI-driven solutions for leading financial services clients, shaping the next generation of intelligent, secure, and customer-centric digital platforms.
 About the Role
 You will be part of multidisciplinary teams working alongside proposition managers, journey experts, UX/UI designers, data analysts, developers, architects, business analysts, and product owners. We value pace, ownership, and impact. Together, we are shaping the future of our organization with strong propositions, smart products, and digital experiences that truly make a difference for young people.
 Your Role
 As a Solution Architect – AI Agents & Integration, you are responsible for defining the end-to-end solution architecture that enables domain-specific AI agents to operate safely, reliably, and coherently within the broader banking landscape. These AI agents power new customer-facing features for Gen Z and are integrated into a central AI agent that orchestrates conversations, context, and execution across channels and domains.
 You ensure that innovation in AI aligns with enterprise architecture principles, platform capabilities, and regulatory requirements. You collaborate closely with business analysts, product owners, engineers, platform teams, domain architects, and risk stakeholders to guide solutions from concept through to production.
 Key Responsibilities
 Design end-to-end solution architectures for domain-specific AI agents
 Translate business and product intent into scalable architectural designs across channels, AI agents, integration layers, and core systems
 Define architectural boundaries and interaction patterns between agents, systems, and platforms
 Ensure secure, compliant, and traceable handling of customer data
 Align solution designs with enterprise architecture standards and platform capabilities
 Provide architectural guidance and support to delivery teams
 Evaluate emerging technologies in conversational AI and agent orchestration
 Safeguard non-functional requirements including security, privacy, resiliency, performance, and explainability
 Your Profile
 You are a senior Solution Architect with a strong track record in complex enterprise environments. You combine strategic thinking with hands-on architectural expertise and have the ability to balance innovation with regulatory and operational realities. You are a clear communicator who can align stakeholders and drive architectural quality across domains.
 Required Skills & Experience
 Extensive experience as a Solution Architect in a large, complex enterprise environment (preferably within financial services)
 Strong ability to bridge business strategy, product needs, and technical realization
 Experience working within Agile delivery models
 Proven ability to balance innovation with regulatory, risk, and operational constraints
 Excellent stakeholder management and communication skills
 Strong ownership mindset for architectural consistency and long-term coherence
 Technical Expertise
 End-to-end solution architecture across digital channels, integration layers, and backend systems
 Architectural understanding of AI-agent concepts such as orchestration, context sharing, decision flows, and guardrails
 API design, event-driven architectures, and service-based integration patterns
 Cloud and enterprise platform architecture concepts
 Knowledge of security, privacy, risk, and compliance requirements within banking
 Ability to create and maintain architectural artifacts and documentation
 Experience with conversational AI platforms or AI-enabled customer journeys is a strong plus
 What We Offer (Netherlands)
 Competitive salary
 Access to Udemy and Cognizant Academy
 NS business card
 25 paid holidays
 Laptop and smartphone
 Pension scheme
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Bill Hilhorst
 Email: Bill.Hilhorst@cognizant.com

Solution Architect – AI Agents & Integration

Booking.com

<div>Role Description:

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. 
About the team: The Data &amp; AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through:<ul><li>
An overarching Data &amp; AI Policy to include associated standards</li><li>
Data &amp; AI Governance including meta and master data management</li><li>
Data &amp; AI Delivery Governance</li><li>
Data &amp; AI Quality including both technical and business quality measures</li></ul>
This enables the maturity of Data and AI capabilities across Booking.com, unlocking innovation and business value through leveraging data and AI. 
Role Description: The Data &amp; AI Governance Architect role will report into the Data &amp; AI Governance Solution Architect in the Data &amp; AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data &amp; AI governance across data &amp; AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data &amp; AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner.
Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. 
Key Job Responsibilities and Duties:<ul><li>
Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy</li><li>
Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this</li><li>
Contribute to data architecture governance and decision processes</li><li>
Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities</li><li>
Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data &amp; AI governance platform(s)</li><li>
Identification of bottlenecks within system design that impede delivery velocity</li><li>
Data driven nature, expect it in design, lead by example</li><li>
Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems</li><li>
Approachable &amp; effective communicator, explain design and challenges in a way the audience understands</li><li>
Coaching and mentoring, building our architecture excellence systemically through the team</li><li>
Ability to drive impact at scale across a large data product &amp; engineering organisation</li></ul>
Desirable skills:<ul><li>
Experience of building out modern data architectures</li><li>
Experience of Data Governance &amp; engineering Continuous Delivery and Agile delivery methodologies</li><li>
Experience with Conceptual and Logical Data Modeling practices</li><li>
Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top</li><li>
Experience of integrating siloed businesses or verticals with diverse data and standards</li><li>
Knowledge and experience of enterprise architecture practices and capability-based planning</li><li>
Knowledge and experience of Data &amp; AI Governance and management and how to weave into data architecture effectively</li><li>
API design</li><li>
Handle data following strict privacy and compliance requirements</li><li>
Provide support for internal teams</li></ul>
Qualifications &amp; Skills:<ul><li>
Responsible with the Solution Architect for the integrity and excellence of the CDO Data &amp; AI Governance architecture and its value</li><li>
Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs</li><li>
Craft and promote data architecture principles for the Data &amp; AI Governance team - take accountability for embedding them in culture and design</li><li>
Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely</li><li>
Collaborate with data modelling community to drive out data modelling standards with the business units</li><li>
Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data &amp; AI Governance platform costs within the CDO and Central Tech</li><li>
Collaborate with Compliance and data &amp; AI governance on measuring and managing risks effectively</li><li>
Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate</li><li>
Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles</li><li>
Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap</li><li>
Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making</li><li>
Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts.</li></ul>
Critical Thinking:<ul><li>
Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic.</li><li>
Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic.</li></ul>
Benefits &amp; Perks - Global Impact, Personal Relevance: 
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul>
Diversity, Equity and Inclusion (DEI) at Booking.com: 
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>

Data & AI Governance Architect

Cognite - AI for Industry

<div><div><h1 class="jobSectionHeader">What Cognite is: Relentless to achieve</h1>

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</div><h1 class="jobSectionHeader"> 
How you'll demonstrate Ownership</h1>
<div>
The Enterprise Field Engineering team leads the technical relationship as a customer scales beyond initial implementations and deployments into broader expansion and full enterprise-wide adoption. Enterprise Field Engineers help to validate technology fit, architect and demonstrate new use cases and support deployment and operationalization as adoption expands. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement.
The Enterprise Field Engineering team works in close partnership with the Account Management team to grow and expand customers to enterprise scale and beyond.</div>
<div></div>
<div><h1 class="jobSectionHeader">The Impact you bring to Cognite</h1>
</div>
<div>Client Engagement and Solution Development
<ul>
<li>You act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion&reg;.</li>
<li>Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.</li>
</ul>
Client Education and Technical Representation
<ul>
<li>You educate clients on Cognite Data Fusion&reg; and related offerings, leading to successful adoption, solution integration, and value realization.</li>
<li>You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.</li>
<li>You represent Cognite in client meetings, workshops, and technical briefings to leverage your technical expertise to build client confidence.</li>
</ul>
Internal Collaboration and Product Alignment
<ul>
<li>You act as a bridge between clients and Cognite's Product organization, translating client feedback and needs into clear, actionable product requirements.</li>
<li>You ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite's broader product strategy.</li>
<li>You provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.</li>
</ul>
Sales and Field Engineering Enablement
<ul>
<li>You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.</li>
<li>You serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.</li>
<li>You organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.</li>
</ul>
Technical Leadership and Best Practices
<ul>
<li>You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite's position as a leader in client-focused industrial solutions.</li>
<li>You mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.</li>
<li>You share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.</li></ul> 


Required qualifications
<ul>
<li>Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.</li>
<li>Hands-on in Python, as well as good hands-on expertise with software development best practices.</li>
<li>Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.</li>
<li>Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.</li>
<li>Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance &mdash; particularly in cloud and hybrid environments.</li>
</ul>
Preferred qualifications
<ul>
<li>Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)</li>
<li>Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.</li>
<li>Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.</li>
<li>Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.</li>
<li>Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.</li></ul></div><div></div><div> 
<div></div>
<div></div><div>Learn more about us</div> 
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul> 
</div>
<div></div><div>Equal Opportunity</div>
<div>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</div></div></div>

Principal Field Engineer (Pharma/Life Science)

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

Zscaler

<div><div>About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate&mdash;we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.</div><div>

Role

We are looking for a Product Specialist (DSPM and Securing Data from AI) to join our team. This is a Remote role, reporting to the Sr. Director WW Field PM for DSPM in the Data Security Product Organization department. As a key member of the Data Security Product Organization within the DSPM Field PM team, you will drive the technical and commercial success of our DSPM and AISPM solutions across the EMEA region. You will act as a critical bridge between our customers and the product organization, ensuring our platform evolves to meet real-world security challenges while empowering our field teams to win.

What you'll do (Role Expectations)
<ul>
<li>Drive the sales strategy and execution for the DSPM product suite specifically for our EMEA customer base
</li>
<li>Lead and manage the end-to-end Proof of Concept (PoC) process for DSPM opportunities to demonstrate technical superiority and business value
</li>
<li>Serve as the primary technical resource for deploying DSPM solutions during the PoC phase to ensure seamless integration and performance
</li>
<li>Act as the definitive voice of the customer, synthesizing field feedback to directly influence and improve the DSPM platform roadmap
</li>
<li>Enable and educate the broader Zscaler field team to effectively position and sell DSPM solutions within their accounts
</li>
</ul>Who You Are (Success Profile)
<ul>
<li>You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
</li>
<li>You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
</li>
<li>You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
</li>
<li>You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback&mdash;knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
</li>
<li>You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
</li>
</ul>What We're Looking for (Minimum Qualifications)
<ul>
<li>Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
</li>
<li>Deep expertise in infrastructure deployment within at least one major public cloud environment, specifically AWS, Azure, or GCP
</li>
<li>Proven professional experience in a technical, customer-facing role such as a Sales Engineer, Solution Architect, or Product Manager
</li>
<li>Subject matter expertise in Data Security Posture Management (DSPM), Data Security, or cloud security projects like CNAPP
</li>
<li>Demonstrated ability to create and deliver high-impact Proof of Concept presentations that clearly communicate complex technical value to a business audience
</li>
</ul>What Will Make You Stand Out (Preferred Qualifications)
<ul>
<li>Deep technical understanding of generative AI infrastructure platforms, including AWS Bedrock, Azure AI Foundry, or Google Vertex, with the ability to articulate architectural data security risks
</li>
<li>Advanced domain expertise specifically within the DSPM landscape
</li>
<li>Familiarity with or a strong aptitude for working with Network File shares within Data Center environments
</li>
</ul>#LI-REMOTE 
#LI-MM8
</div><div>
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
<div>
<ul><li>Various health plans</li>
<li>Time off plans for vacation and sick time</li>
<li>Parental leave options</li>
<li>Retirement options</li>
<li>Education reimbursement</li>
<li>In-office perks, and more!</li>
</ul>
<div>Learn more about Zscaler's hybrid working model and benefits here.
</div>
</div>By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</div></div>

Product Specialist (DSPM and Securing Data from AI)

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