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data center dc solution architect engineer white space

Eaton

<div>
 
 Primary Function Description
 
 
 
 Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and the cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.
 
 
 As part of our continued investment in next generation data center technologies, Eaton is expanding its capabilities to support advanced, future ready architectures across both white space (IT halls) and grey space (electrical and mechanical infrastructure).
 
 
 Within this segment, Eaton has an opening for a Data Center Solutions Engineer &ndash; White Space. This position plays a critical role in defining, shaping, and delivering advanced data center architectures where standard reference designs may not yet exist. This role sits at the intersection of innovation, applied engineering, and customer engagement. It will be supporting hyperscale, co-location, and EPC partners from early concept through solution definition.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 ESSENTIAL FUNCTIONS &amp; DIMENSIONS
 
 
 
 
 Customer Solutions &amp; Concept Design
 
 
 
 <ul>
 <li>
 Engage in future data center development, design and architecture to include coordination with R&amp;D teams both internally and customer facing.
 </li>
 <li>
 Engage with customers on early-stage data center opportunities, including projects without established standards or reference architectures.
 </li>
 <li>
 Develop conceptual and system level solutions covering white space environments.
 </li>
 <li>
 Translate customer operational, resiliency, sustainability, and scalability goals into robust electrical architectures.
 </li>
 <li>
 Support technical discussions during pre-sales, design development, and early project phases.
 
 
 
 </li>
 </ul>
 
 System Architecture &amp; Engineering Expertise
 
 
 
 <ul>
 <li>
 Define advanced data center electrical architectures, including utility interconnection, MV/LV distribution, UPS topologies, energy storage, and IT power delivery.
 </li>
 <li>
 Ensure alignment between white space power requirements and upstream grey space infrastructure.
 </li>
 <li>
 Perform detailed technical analyses to evaluate system performance, reliability, efficiency, and maintainability.
 </li>
 <li>
 Provide technical recommendations to optimize footprint, power coordination, and system integration.
 
 
 
 </li>
 </ul>
 
 Cross Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner closely with Eaton Centers of Excellence (COEs), Global Product Lines (GPLs), and Business Units (BUs) to align customer solutions with Eaton&rsquo;s technology roadmap.
 </li>
 <li>
 Collaborate with Design &amp; Bid, engineering, operations, and sales teams to ensure solutions are technically sound and commercially viable.
 </li>
 <li>
 Facilitate technical workshops with customers, consultants, and internal stakeholders to co create solutions.
 
 
 
 </li>
 </ul>
 
 Standards, Compliance &amp; Innovation
 
 
 
 <ul>
 <li>
 Ensure solutions comply with applicable IEC, EU requirements, and local building codes by working with authorities having jurisdiction.
 </li>
 <li>
 Contribute to the development of Eaton&rsquo;s global reference architectures, design frameworks, and best practices for next generation data centers.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and evolving data center standards to drive continuous innovation.
 
 
 
 </li>
 </ul>
 
 Project &amp; Lifecycle Support
 
 
 
 <ul>
 <li>
 Provide technical support during project execution, including site reviews, engineering evaluations, and electrical audits as required.
 </li>
 <li>
 Support early Eaton system approvals by vendors (AVL) for programmatic or large-scale deployments.
 </li>
 <li>
 Assist field engineers during commissioning and startup activities when needed.
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 
 POSITION CRITERIA:
 
 
 
 <ul>
 <li>
 Strong understanding of power system architectures, redundancy concepts, and integration between electrical and mechanical systems.
 </li>
 <li>
 Experience with UPS systems, MV/LV distribution, energy storage, and critical power infrastructure.
 </li>
 <li>
 Ability to lead technical discussions and conceptual design workshops with customers.
 </li>
 <li>
 Familiarity with BIM, digital engineering workflows, and modern data center design tools is an advantage.
 </li>
 <li>
 Strong analytical, problem solving, and communication skills.
 </li>
 <li>
 Customer focused mindset with the ability to act as a trusted technical advisor.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering from an accredited institution.
 </li>
 <li>
 Minimum 3 years of work experience with data center electrical systems, covering white space environments.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in English; additional languages (e.g., Arabic) are a plus.
 
 
 
 </li>
 </ul>
 
 Eaton Leadership Model Competencies
 
 
 
 <ul>
 <li>
 Thinking and Acting Strategically
 </li>
 <li>
 Gets Results
 </li>
 <li>
 Enabling a Digital Mindset
 </li>
 <li>
 Building Organizational Capability
 </li>
 </ul>
</div>

Data Center DC Solution Architect Engineer  - White Space

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 <ul>
 <li>
 Role Overview: We are seeking an experienced Senior Field Engineer with deep expertise in x86 servers and data storage systems, particularly Gigabyte, Compal, and Supermicro hardware. This is a high-impact role for a senior-level professional, close to an infrastructure architect, who will not only execute on-site installations but also advise clients on infrastructure optimisation and best practices.
 </li>
 </ul>
 
 In the early stages, the role will require on-site presence at client locations for installations and configurations. As the company grows, the position will transition to a third-line technical support role based at our office, focusing on advanced troubleshooting, solution design, and infrastructure optimisation
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 On-Site Installations &amp; Configurations
 </li>
 <li>
 Lead the deployment of x86 servers and data storage systems
 </li>
 <li>
 Configure hardware, firmware, and operating systems to meet customer requirements
 </li>
 <li>
 Collaborate with junior engineers for physical installations (rack mounting, cabling, etc.)
 </li>
 <li>
 Pre-launch Setup and Optimization:
 </li>
 <li>
 Conduct pre-deployment configuration and test servers and storage systems to ensure compatibility and performance
 </li>
 <li>
 Optimise hardware and software settings based on client requirements and industry best practices
 </li>
 <li>
 Perform initial benchmarking and load testing before final deployment
 </li>
 <li>
 Technical Consulting &amp; Solution Design:
 </li>
 <li>
 Analyse client requirements and propose infrastructure solutions that optimise performance and cost-efficiency
 </li>
 <li>
 Provide technical recommendations and best practices for server and storage deployments
 </li>
 <li>
 Conduct health checks and performance tuning on deployed systems
 </li>
 <li>
 Client Interaction &amp; Support:
 </li>
 <li>
 Act as a senior technical expert, building trusted relationships with customers.
 </li>
 <li>
 Provide on-site troubleshooting for complex technical issues.
 </li>
 <li>
 Prepare and present optimisation reports and upgrade proposals.
 </li>
 <li>
 Internal Development &amp; Future Role Transition:
 </li>
 <li>
 Document solutions, configurations, and processes for future reference
 </li>
 <li>
 Provide training and mentorship to junior engineers
 </li>
 <li>
 Transition into a third-line support role in the office as the company scales, focusing on high-level technical support and solution architecture Qualifications &amp; Experience:Technical Skills: Soft Skills:
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in computer science, Engineering, or a related field.
 </li>
 <li>
 Experience: Minimum 7 years of experience in server and data storage infrastructure, focusing on enterprise-level deployments. Vendor Experience:
 </li>
 <li>
 Strong hands-on experience with Compal, Gigabyte and Supermicro x86 servers.
 </li>
 <li>
 Certifications: Microsoft, VMware, Microsoft Azure Solutions Architect, Red Hat Certified Engineer (RHCE), etc.
 </li>
 <li>
 Advanced knowledge of server hardware components, BIOS/UEFI settings, and RAID configurations
 </li>
 <li>
 Experience working for a server or network equipment vendor in a technical presales or service engineering role
 </li>
 <li>
 Proficiency in operating systems (Linux, Windows Server) and virtualisation platforms (VMware, Proxmox, Hyper-V)
 </li>
 <li>
 Experience with networking protocols (TCP/IP, iSCSI, NFS, etc.) and storage technologies (SAN, NAS, NVMe, etc.)
 </li>
 <li>
 Familiarity with server monitoring tools and enterprise backup solutions
 </li>
 <li>
 Deep understanding of fault-tolerance mechanisms and best practices for ensuring the high availability of enterprise information systems
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 </li>
 <li>
 Strong customer-facing and communication skills
 </li>
 <li>
 Ability to work independently and under pressure.
 </li>
 <li>
 Career Growth: This role offers a clear path to becoming a senior architect and third-line technical leader.
 </li>
 <li>
 High Impact: Play a pivotal role in our customer service and technical delivery during a critical growth phase.
 </li>
 </ul>
 
 Sr. Field/Infrastructure Engineer in Dubai, United Arab Emirates
 
</div>

Sr. Field/Infrastructure Engineer (m/f/d)

NVIDIA

<div>
 NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!
 
 
 We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.
 </li>
 <li>
 Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.
 </li>
 <li>
 Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
 </li>
 <li>
 Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.
 </li>
 <li>
 Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.
 </li>
 <li>
 Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.
 </li>
 <li>
 NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.
 </li>
 <li>
 Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.
 </li>
 <li>
 Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.
 </li>
 <li>
 System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).
 </li>
 <li>
 Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.
 </li>
 <li>
 Travel: Willingness to travel up to 25% for customer engagements.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.
 </li>
 <li>
 Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.
 </li>
 <li>
 Experience with multi-tenant GPU cluster management and workload scheduling frameworks.
 </li>
 <li>
 Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.
 </li>
 <li>
 Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.
 
 
 </li>
 </ul>
 , , JR2016438
 
 
</div>

Senior Solutions Architect, Customer Success

Atos

<div>
 
 About Atos Group
 
 
 
 Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. &euro;10 billion, operating in 61 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
 
 
 The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Role Purpose
 
 
 
 The CTO for the Middle East &amp; Turkey region is responsible for leading the regional technology strategy and owning the
 
 end-to-end presales and solutioning function
 
 for all Atos portfolios. The role acts as the primary technology advisor to customers and internal teams, ensuring that all solutions are innovative, competitive, and fully aligned with business growth objectives.
 
 
 
 Key Responsibilities
 
 
 
 
 Technology Strategy &amp; Innovation
 
 
 
 <ul>
 <li>
 Define and execute the technology vision for the MET region aligned with global CTO strategy.
 </li>
 <li>
 Drive adoption of Cloud, Data, AI/ML, Cybersecurity, and Digital Platforms.
 </li>
 <li>
 Translate regional market trends into relevant offerings and use cases.
 
 
 
 </li>
 </ul>
 
 Presales
 
 
 
 <ul>
 <li>
 Lead the regional presales and solution architecture function across all business lines.
 </li>
 <li>
 Own solution development for major bids, RFPs, and digital transformation programs.
 </li>
 <li>
 Ensure quality, feasibility, and competitiveness of all technical proposals.
 </li>
 <li>
 Strengthen partnerships (Azure, AWS, Google, OEMs) to support winning solutions.
 
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 <ul>
 <li>
 Serve as a trusted technology advisor to CIO/CTO-level stakeholders.
 </li>
 <li>
 Support key accounts with solution roadmaps, architecture planning, and technology advisory.
 </li>
 <li>
 Represent Atos in CXO engagements, technology councils, and industry forums.
 
 
 
 </li>
 </ul>
 
 Technical Governance &amp; Delivery Assurance
 
 
 
 <ul>
 <li>
 Provide architecture governance and technical oversight for large regional programs.
 </li>
 <li>
 Establish and enforce technology standards, patterns, and best practices.
 </li>
 <li>
 Act as final escalation point for critical solution or design issues.
 
 
 
 </li>
 </ul>
 
 People &amp; Capability Development
 
 
 
 <ul>
 <li>
 Lead and develop a high-performing team of architects and presales specialists.
 </li>
 <li>
 Build strong technical capability in Cloud, Data, Cyber, AI/ML, and industry domains.
 </li>
 <li>
 Strengthen certification frameworks and engineering excellence in the region.
 
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 15+ years in senior technology leadership roles (CTO / Chief Architect / Technical Director).
 </li>
 <li>
 Deep expertise in Cloud, Data, Cybersecurity, AI/ML, and modern engineering practices.
 </li>
 <li>
 Strong experience running presales and large-scale solution architecture functions.
 </li>
 <li>
 Proven engagement with senior stakeholders across Public Sector, BFSI, Energy, and Telecom.
 </li>
 <li>
 Strong commercial acumen and ability to influence at C-level.
 
 
 
 </li>
 </ul>
 
 Choose your future. Choose Atos.
 
</div>

Chief Technology Officer

Landmark Group

<div>
 
 
 Job Title: Enterprise Data Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 Landmark Digital is looking for a highly experienced
 
 Enterprise Data Architect
 
 to define, govern and evolve the enterprise-wide data architecture across retail, eCommerce, supply chain, customer and finance domains.
 
 
 This role will be responsible for building a
 
 scalable, secure and business-aligned data foundation
 
 that enables omnichannel growth, advanced analytics, AI/ML use cases and real-time decision-making, while reducing complexity, cost and risk across brands and geographies.
 
 
 
 
 
 Experience- 13- 20 Years
 
 
 Salary Range- 40-45 AED
 
 
 Location - Dubai UAE
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Enterprise Data Architecture Ownership
 
 
 <ul>
 <li>
 Own end-to-end
 
 enterprise data architecture
 
 across Digital Commerce, Retail IT, Supply Chain, CRM, Loyalty, Marketing Tech, Finance, and Data Platforms.
 </li>
 <li>
 Define
 
 current-state, target-state, and transition architectures
 
 aligned to Landmark&rsquo;s omnichannel growth and cost-efficiency objectives.
 </li>
 <li>
 Ensure data platforms can scale for
 
 high-volume retail operations, seasonal peaks, and multi-country expansion
 
 .
 </li>
 </ul>
 
 
 
 
 
 2. Omnichannel Data Enablement
 
 
 <ul>
 <li>
 Architect unified data models for
 
 customer, product, inventory, order, pricing and promotions
 
 across online and offline channels.
 </li>
 <li>
 Enable real-time and near real-time data flows supporting use cases such as:
 </li>
 <li>
 Unified inventory &amp; fulfillment visibility
 </li>
 <li>
 Customer 360 &amp; personalization
 </li>
 <li>
 Omnichannel analytics and reporting
 </li>
 <li>
 Support peak traffic events (e.g., festive sales, White Wednesday equivalents) with resilient, scalable data pipelines.
 </li>
 </ul>
 
 
 
 
 
 3. Data Platform Modernization
 
 
 <ul>
 <li>
 Lead modernization of data platforms including
 
 data lakes, data warehouses, streaming platforms and analytics stacks
 
 .
 </li>
 <li>
 Drive adoption of
 
 cloud-native, API-first, and event-driven data architectures
 
 .
 </li>
 <li>
 Rationalize legacy data stores, point integrations, and duplicated reporting systems across brands.
 </li>
 </ul>
 
 
 4. Data Governance, Quality &amp; Compliance
 
 
 <ul>
 <li>
 Define and implement
 
 enterprise data governance frameworks
 
 , including:
 </li>
 <li>
 Master Data Management
 </li>
 <li>
 Metadata management &amp; lineage
 </li>
 <li>
 Data quality standards and controls
 </li>
 <li>
 Ensure compliance with
 
 data privacy, PCI, regional regulatory and security requirements
 
 by design.
 </li>
 <li>
 Establish clear data ownership, stewardship and access control models.
 </li>
 </ul>
 
 
 5. Business &amp; Leadership Partnership
 
 
 <ul>
 <li>
 Act as a
 
 strategic advisor
 
 to Business, Digital, Supply Chain, Finance and Analytics leaders.
 </li>
 <li>
 Translate commercial priorities into
 
 data roadmaps and investment plans
 
 .
 </li>
 <li>
 Enable faster decision-making through trusted, timely, and actionable data.
 </li>
 </ul>
 
 
 6. Delivery Assurance &amp; Architecture Governance
 
 
 <ul>
 <li>
 Establish and run
 
 Data Architecture Review Boards (ARB)
 
 and design authorities.
 </li>
 <li>
 Partner with Product, Engineering, Analytics, and SI partners to ensure
 
 architecture-aligned execution
 
 .
 </li>
 <li>
 Prevent architectural debt, data silos, and uncontrolled proliferation of tools.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 7. Vendor &amp; Platform Strategy
 
 
 <ul>
 <li>
 Evaluate and govern
 
 SaaS platforms, hyperscalers, BI tools and data vendors
 
 .
 </li>
 <li>
 Drive
 
 vendor consolidation and cost optimization
 
 across brands and regions.
 </li>
 <li>
 Ensure long-term scalability and contractual alignment to target data architecture.
 </li>
 </ul>
 
 
 
 
 
 8. Capability Building &amp; CoE
 
 
 <ul>
 <li>
 Build and mentor a
 
 Group Data Architecture / Data Platform CoE
 
 .
 </li>
 <li>
 Upskill teams on modern data architecture, analytics engineering, and governance practices.
 </li>
 <li>
 Drive reuse of shared data assets, models, and pipelines across brands.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 15+ years in data architecture, enterprise architecture or large-scale analytics platforms.
 </li>
 <li>
 Strong experience in
 
 retail, eCommerce, consumer internet or large enterprise ecosystems
 
 .
 </li>
 <li>
 Proven experience working across
 
 multi-brand, multi-country environments
 
 .
 </li>
 </ul>
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Cloud data platforms (AWS / Azure / GCP)
 </li>
 <li>
 Data Lake / Lakehouse / Warehouse architectures
 </li>
 <li>
 Streaming &amp; event platforms (Kafka, Pub/Sub, Event Hub equivalents)
 </li>
 <li>
 BI &amp; Analytics tools
 </li>
 <li>
 MDM, metadata, data quality, and governance tools
 </li>
 <li>
 Strong understanding of API and integration patterns
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Leadership &amp; Behavioral Traits
 
 
 <ul>
 <li>
 Strategic, systems thinker with strong business acumen
 </li>
 <li>
 Ability to influence senior stakeholders without direct authority
 </li>
 <li>
 Strong governance mindset balanced with speed and pragmatism
 </li>
 <li>
 Comfortable operating in ambiguity and scale
 </li>
 </ul>
 
 
</div>

Enterprise Data Architect

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 
 Position Overview:
 
 We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Solution Selling:
 </li>
 <ul>
 <li>
 The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.
 </li>
 </ul>
 <li>
 Strategic Leadership:
 </li>
 <ul>
 <li>
 Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.
 </li>
 <li>
 Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.
 </li>
 </ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.
 </li>
 <li>
 Provide hands-on technical guidance to AI/ML teams during critical projects.
 </li>
 <li>
 Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.
 </li>
 </ul>
 <li>
 Customer Engagement:
 </li>
 <ul>
 <li>
 Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.
 </li>
 <li>
 Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.
 </li>
 </ul>
 <li>
 Team Collaboration:
 </li>
 <ul>
 <li>
 Collaborate with product teams, fostering a culture of innovation, learning, and excellence.
 </li>
 <li>
 Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.
 </li>
 <li>
 Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.
 
 
 
 </li>
 </ul>
 </ul>
 TECHNICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Essential
 </li>
 <ul>
 <li>
 Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents
 </li>
 <li>
 Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.
 </li>
 <li>
 Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)
 </li>
 <li>
 Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries
 </li>
 </ul>
 <li>
 Highly Desirable
 </li>
 <ul>
 <li>
 Snowflake Experience: experience with the Snowflake AI/ML ecosystem
 </li>
 <li>
 Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial
 </li>
 <li>
 ML Ops: Experience in ML Ops including feature stores, model registries, observability
 </li>
 <li>
 DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines
 
 
 
 </li>
 </ul>
 </ul>
 PERSONAL ATTRIBUTES:
 
 
 <ul>
 <li>
 Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.
 </li>
 <li>
 Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.
 </li>
 <li>
 Customer-Centric: Deeply invested in understanding and addressing customer needs.
 </li>
 <li>
 Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.
 </li>
 <li>
 Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.
 </li>
 <li>
 Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.
 </li>
 <li>
 Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
</div>

AI Specialist

Fluid Codes

<div>
 
 
 About Fluid Codes:
 
 
 
 Fluid Codes is the APEX Channel Partner of ANSYS (part of Synopsys), authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com)
 
 
 Ansys is the global leader in engineering simulation, helping the world&rsquo;s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.
 
 
 
 Job Summary
 
 
 
 Sr. Application Engineer, Digital Mission Engineering role is based in Dubai (UAE) and will be responsible for leveraging engineering domain knowledge and expertise to assist customers in solving complex engineering problems using Ansys Digital Mission Engineering (DME) software (STK and ODTK tools). The engineer will provide pre/post-sales support, technical training on Ansys products for customers in Middle East region.
 
 
 
 Key Responsibilities:
 
 
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 Apply advanced engineering expertise and knowledge of Digital Mission Engineering, especially with Ansys STK, ODTK to provide the highest level of technical support, ensuring high-quality, timely customer service, and pre-sales demonstrations to customers.
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 Own customer problems, and proactively engage with selected accounts to provide comprehensive solutions. Contribute to all technical activities throughout the sales opportunity lifecycle, interact with customers to understand their product design needs and engineering design workflows, and articulate Ansys&rsquo; value proposition.
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 Conduct introductory, intermediate, and advanced training classes. Scope and deliver professional services for projects, potentially collaborating with other field engineers.
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 Participate in internal initiatives to share knowledge and create best practices. Develop simulation best practices, solutions, and FAQs for the knowledge base.
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 Architect and develop holistic system-level solutions and workflows using Ansys DME tools by leveraging technologies and disciplines such as tool integration, System Architecture Modeling, Model-Based System Engineering (MBSE), and digital mission engineering.
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 Develop competence as a subject matter expert and industry expert in the field of multidomain mission engineering.
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 Requirements:
 
 
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 Education: Bachelors or Masters in Aeronautical/Aerospace Engineering or related fields.
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 Required years of professional experience: BS+10, MS+6, or PhD+3
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 Working knowledge of satellite orbits, space mission design, aircraft systems or drones / UAVs design.
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 Experience in the Aerospace &amp; Defense industry.
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 Demonstrated use of Ansys DME software (STK, ODTK) and knowledge of multiphysics tools (e.g. structural, fluid dynamics, electromagnetics, thermal etc.).
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 Proficiency in Python or MATLAB scripting.
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 Demonstrated skills in reading, writing and presenting in fluent English.
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 Strong interpersonal and communication skills, with the ability to conduct customer presentations and training sessions.
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 Ability to work on multiple projects which are complex in nature.
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 Ability to travel up to 25% of time
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 Skill Set:
 
 
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 STK/ODTK Certification from AGI.
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 Demonstrated use of Ansys ODTK.
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 Knowledge of other Ansys products, especially ModelCenter, SCADE or medini.
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 Automation, extension, integration, or otherwise customization of STK.
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 Experience in SysML development.
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 In-depth knowledge and experience in Astrodynamics (orbital mechanics, trajectory optimization, mission planning).
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 Strong understanding of Flight Dynamics (aircraft stability and control, aerodynamic performance).
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 Familiarity with Radar Systems principles, simulation, and analysis.
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 Experience with Model-Based Systems Engineering (MBSE) methodologies and tools.
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 Proficiency in Multiphysics simulations relevant to aerospace applications (e.g., aero-thermo-structural coupling, fluid-structure interaction, electromagnetics).
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 Prior experience in modelling and simulation of complex aerospace systems.
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 Knowledge of various aerospace subsystems and their interactions.
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 Experience with space launch vehicles, satellites, aircraft, or defence systems.
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Sr. Application Engineer, Digital Mission Engineering

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