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azure technical architect

Acenet consulting

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Job Summary:</b><br/>We are seeking a highly skilled and experienced Azure Technical Architect with a minimum of 10 years of hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures. This role involves working closely with cross-functional teams to deliver scalable, secure, and high-performance cloud solutions that align with business objectives.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and maintain end-to-end Azure solutions across various Azure services.</li><li>Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.</li><li>Analyze performance metrics across compute, storage, network, and application layers &amp; Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.</li><li>Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.</li><li>Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.</li><li>Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.</li><li>Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, Rearchitect (to microservices), or Rebuild.</li><li>Act as a technical advisor to internal stakeholders and external and partner stakeholders.</li><li>Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.</li><li>Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.</li><li>Provide architectural governance and ensure compliance with best practices, standards, and security policies.</li><li>Produce high-quality documentation, architecture diagrams, and solution blueprints.</li><li>Guide and mentor technical teams and conduct architectural reviews.</li><li>Stay current on the latest developments in Azure services and AI technologies.</li></ul><p><b>Role Requirements and Qualifications:</b></p><ul><li>Minimum 10 years of relevant hands-on experience with Microsoft Azure.</li><li>Experience with Core Azure Infrastructure, Azure Virtual Machines, Azure Virtual Desktop, Azure Virtual Network (VNet), Azure Load Balancer, Azure Application Gateway, Azure VPN Gateway, Azure ExpressRoute, Virtual WAN, Network Security Groups (NSGs)</li><li>Experience with Third-Party Networking Solution, Palo Alto Firewall, Panorama, Cisco SDWAN, Infoblox.</li><li>Experience with Load Balancing Solution, Azure Load Balancer, Azure Application Gateway, Azure Frontdoor, WAF, Citrix NetScaler.</li><li>Experience with Backup Solution, Azure Backup, Snapshot, Veeam Backup.</li><li>Experience with Automation, Terraform, Bicep, Azure PowerShell &amp; CLI.</li><li>Experience with Azure Storage Solutions, Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Storage Accounts.</li><li>Experience with Azure Compute &amp; App Services, Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Instances, Azure Service Fabric.</li><li>Experience with Monitoring &amp; Management, Azure Monitor, Log Analytics, Azure Automation, Azure Resource Manager (ARM), Azure Advisor.</li><li>Experience with Identity &amp; Access Management, Azure Active Directory (AAD), Azure Key Vault, Role-Based Access Control (RBAC), Management Groups &amp; Subscriptions.</li><li>Experience with DevOps &amp; CI/CD, Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts, Azure DevTest Labs, Azure SDKs, Azure App Configuration, Azure Lab Services.</li><li>Experience with Azure AI &amp; ML Platforms, Azure Machine Learning, Azure AI Bot Service, Azure Cognitive Services, Azure Databricks, Azure AI Search, Azure OpenAI, Azure Form Recognizer, Azure Immersive Reader, Azure Personalizer, Azure Video Indexer, Azure Metrics Advisor, Azure Custom Vision, Azure Translator, Azure Speech Services, Azure Content Safety, Azure Document Intelligence, Azure Foundry Models, Azure Health Bot, Azure Kinect DK, Azure Face API, Azure QnA Maker, Azure Language Understanding (LUIS), Azure Text Analytics, Azure Text to Speech, Azure Speaker Recognition, Azure Microsoft Genomics, Azure Project Bonsai.</li><li>Other AI Platforms (Basic Understanding Preferred), Cerebras Systems AI solutions, AMD AI accelerators, Microsoft HPCs &amp; ecosystem.</li><li>Microsoft Certified: Azure Solutions Architect Expert certification (required).</li><li>Strong understanding of cloud architecture, networking, security, and automation.</li><li>Demonstrated experience with AI/ML solutions and integrations.</li><li>Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.</li><li>Strong problem-solving skills and ability to work independently and as part of a team.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field.</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p>How to Apply:<br/>If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p><p>Job Types: Full-time, Permanent</p><p>Pay: AED300,000.00 - AED400,000.00 per year</p><p>License/Certification:</p><ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Role Summary</b></p><p>We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on-prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ML teams and enable next-gen capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, costoptimisation, reliability and operational excellence.</li><li>Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance, subscriptions, management groups, identity, networking).</li><li>Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity &amp; access (Azure AD, RBAC, managed identities), hybrid connectivity.</li><li>Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.</li><li>Lead and execute cloud migration strategies (on-prem &rarr; Azure, legacy workloads &rarr; cloud native), uplift existing systems, modernise infra, containerise where appropriate.</li><li>Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.</li><li>AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads&mdash;this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.</li><li>Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.</li><li>Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.</li><li>Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.</li><li>Monitor and optimise Azure environment performance, cost, scalability and reliability over time &mdash; propose continuous improvement initiatives.</li><li>Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.</li><li>Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity &amp; access. (Design + implementation)</li><li>Strong infrastructure background: on-prem compute/virtualisation (VMware/HyperV), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.</li><li>Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).</li><li>Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep &mdash; creating reusable modules and automating deployments.</li><li>Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.</li><li>Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity &amp; security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).</li><li>Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.</li><li>Good communication and presentation skills &mdash; able to engage with senior stakeholders and translate business needs into technical architecture.</li><li>Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.</li><li>Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: AED350,000.00 - AED450,000.00 per year</p><p>License/Certification:</p><ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect with AI-ML Knowledge

D4 Insight

<div><p><b>We&rsquo;re Hiring: AI Solution Architect</b><br>
<b>Location:</b> Abu Dhabi<br>
<b>Salary:</b> AED 30K+ (based on experience and interview)<br>
<b>Experience:</b> 8+ Years</p>
<p><b>
About the Role:</b><br>
We are looking for an accomplished <b>AI Solution Architect</b> to design and deliver <b>AI, ML, and Generative AI solutions</b> at enterprise scale. The ideal candidate will bring deep technical expertise in modern AI architectures, system integrations, and LLM-driven applications &ndash; with the ability to translate complex business needs into scalable, secure, and high-performing AI solutions.</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li><p>Architect, design, and deploy <b>AI/ML and GenAI solutions</b> across diverse business domains and hybrid environments.</p>
</li>
<li><p>Develop and integrate <b>APIs, microservices, and enterprise-grade AI systems</b>, ensuring alignment with architecture standards.</p>
</li>
<li><p>Translate business requirements into <b>scalable technical architectures</b> for AI/ML and Generative AI use cases.</p>
</li>
<li><p>Design and implement <b>Conversational AI systems</b>, including <b>intelligent chatbots and virtual assistants</b> powered by <b>Large Language Models (LLMs)</b>.</p>
</li>
<li><p>Build and deploy <b>GenAI applications and intelligent agents</b>, integrating them with enterprise systems through <b>APIs and event-driven architectures</b>.</p>
</li>
<li><p>Lead end-to-end <b>GenAI solution design</b>, focusing on <b>performance, cost, security, and scalability</b>.</p>
</li>
<li><p>Orchestrate <b>agentic workflows</b> using frameworks such as <b>LangChain, Semantic Kernel, or custom orchestration layers</b>.</p>
</li>
<li><p>Manage the <b>LLM lifecycle</b>, including fine-tuning, versioning, rollback, and secure access through enterprise identity systems.</p>
</li>
<li><p>Apply <b>MLOps practices</b> to streamline model deployment, monitoring, and lifecycle management.</p>
</li>
<li><p>Design and deploy <b>cloud-native AI/ML solutions</b> on <b>Azure or AWS</b>, leveraging <b>serverless architectures and cost optimization strategies</b>.</p>
</li>
<li><p>Collaborate with cross-functional teams &ndash; <b>enterprise architects, cloud engineers, and security teams</b> &ndash; to ensure compliance, scalability, and secure deployments.</p></li></ul><br>
<p>
</p><p><b>Required Skills &amp; Expertise:</b></p>
<ul>
<li><p>Proven hands-on experience in <b>AI/ML and Generative AI architecture and solution design</b>.</p>
</li>
<li><p>Strong understanding of <b>LLMs, MLOps, API integrations, and hybrid system architecture</b>.</p>
</li>
<li><p>Expertise in <b>cloud AI services</b> (Azure AI, AWS Sagemaker, Bedrock, etc.).</p>
</li>
<li><p>Familiarity with <b>LangChain, Semantic Kernel, and modern AI orchestration frameworks</b>.</p>
</li>
<li><p>Excellent problem-solving, communication, and stakeholder management skills.</p>
</li>
</ul> <p><b>Apply Now.</b></p></div>

AI Solution Architect

NorthBay Solutions

<div><p><b>Job Title:</b> Technology Lead/Architect &ndash; AI/ML &amp; GenAI<br>
<b>Experience:</b> 12+ Years<br>
<b>Location:</b> Abu Dhabi, UAE<br>
<b>Employment Type:</b> Full-time</p><p></p><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3><p>
NorthBay Solutions is seeking an accomplished <b>GenAI Technology Lead/Architect</b> with a strong track record in <b>Generative AI (GenAI), AI/ML, and enterprise architecture</b>. This role is ideal for a senior professional who can <b>design and deliver AI-powered enterprise solutions</b>, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.</p><p>
You will be the <b>technical authority</b> for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.</p><p></p><h3 class="jobSectionHeader"><b><br>
Core Responsibilities</b></h3><ul><li><p>
Architect and deliver <b>end-to-end AI/ML and GenAI solutions</b> integrating with existing enterprise systems.</p></li><li><p>
Lead a <b>team of 8&ndash;12 engineers</b> across AI/ML, full-stack, and DevOps disciplines in Agile environments.</p></li><li><p>
Drive <b>technical decision-making</b> across infrastructure, APIs, microservices, databases, and AI platforms.</p></li><li><p>
Ensure successful deployment and scaling of AI solutions across <b>on-premises, cloud, and hybrid architectures</b>.</p></li><li><p>
Act as a <b>trusted advisor</b> to business stakeholders, bridging technical depth with strategic vision.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Technical Expertise Required</b></h3><h4 class="jobSectionHeader"><b>
Generative AI Leadership (3+ Years) &ndash; PRIMARY</b></h4><ul><li><p>
Expert-level experience with <b>LLMs</b> (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.</p></li><li><p>
Strong hands-on work with <b>Agentic AI</b>, <b>multi-agent systems</b>, and <b>RAG implementations</b>.</p></li><li><p>
Proficiency with <b>vector databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and modern GenAI toolchains.</p></li><li><p>
Expertise in <b>advanced prompt engineering</b> and <b>Chain-of-Thought techniques</b>.</p></li><li><p>
Proven track record delivering <b>3+ production-grade GenAI applications</b>.</p></li></ul><h4 class="jobSectionHeader"><b>
AI/ML Foundation (4&ndash;5 Years)</b></h4><ul><li><p>
Hands-on experience with <b>Python, TensorFlow, and PyTorch</b> for building production ML systems.</p></li><li><p>
Full lifecycle management of ML models, from development to monitoring in production.</p></li><li><p>
Seamless <b>integration of AI/ML models</b> into enterprise-grade applications and platforms.</p></li></ul><h4 class="jobSectionHeader"><b>
Enterprise Architecture &amp; Deployment (8+ Years)</b></h4><ul><li><p>
Strong background in <b>full-stack development</b> (MERN stack or equivalent).</p></li><li><p>
Deployment expertise across <b>on-premises, cloud, and hybrid environments</b>.</p></li><li><p>
Advanced <b>Kubernetes</b> skills for orchestration and scaling.</p></li><li><p>
Database expertise in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</p></li><li><p>
Proven ability to design and manage <b>APIs and microservices</b> (REST, GraphQL).</p></li><li><p>
DevOps proficiency with <b>Docker, CI/CD pipelines, and infrastructure automation</b>.</p></li></ul><h4 class="jobSectionHeader"><b>
Cloud &amp; Infrastructure</b></h4><ul><li><p>
Deep knowledge of <b>AWS, Azure, or GCP</b> with ML/AI services.</p></li><li><p>
AWS expertise highly valued: <b>SageMaker, Bedrock, Lambda, API Gateway</b>.</p></li><li><p>
Strong grasp of <b>hybrid cloud architectures</b> integrating AI/ML workloads.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Proven Delivery</b></h3><ul><li><p><b>
7+ enterprise-scale projects</b> successfully delivered in AI/ML and enterprise systems.</p></li><li><p>
Demonstrated <b>team leadership</b> experience with measurable outcomes.</p></li><li><p>
Strong focus on delivery excellence, scalability, and long-term maintainability.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
(Preferred) Certifications in <b>AWS/Azure/GCP</b> (Solutions Architect, ML Specialty).</p></li><li><p>
Excellent <b>communication and stakeholder management</b> skills.</p></li><li><p>
Solid experience in <b>Agile/Scrum leadership</b>, driving productivity and team performance.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Ideal Candidate Profile</b></h3><ul><li><p><b>
Priority expertise:</b></p><ul><li><p><b>
Generative AI Leadership</b></p></li><li><p><b>
AI/ML Foundation</b></p></li><li><p><b>
Enterprise Architecture &amp; Hybrid Deployments</b></p></li></ul></li><li><p>
A <b>strategic leader</b> with hands-on depth, able to innovate, mentor, and deliver at scale.</p></li></ul><p>
</p><p>CXXqEBrHLL</p></div>

GenAI & AgenticAI Architect - AbuDhabi

CloudJune Technologies LLC

<p><b>Job Summary</b></p><p>As a <b>Senior Data Engineer</b>, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.</p><p><b>What You'll Do:</b></p><p>&#9679; <b>Design, build, and maintain scalable and reliable data pipelines</b> for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).</p><p>&#9679; <b>Architect and implement data warehousing and data lake solutions</b> on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.</p><p>&#9679; <b>Develop and optimize ETL/ELT processes</b> using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.</p><p>&#9679; <b>Implement and manage data governance policies and procedures</b>, ensuring data security, compliance with government regulations, and adherence to data quality standards.</p><p>&#9679; <b>Collaborate with Data Scientists and AI Engineers</b> to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.</p><p>&#9679; <b>Work closely with AIOps/MLOps Engineers</b> to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.</p><p>&#9679; <b>Design and implement data monitoring and alerting systems</b> to proactively identify and resolve data quality issues and pipeline failures.</p><p>&#9679; <b>Optimize data storage and retrieval systems</b> for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).</p><p>&#9679; <b>Implement data security measures</b> including access control, encryption, and data masking to protect sensitive government data.</p><p>&#9679; <b>Develop and maintain data catalogs and data lineage solutions</b> to ensure data discoverability, understand data flow, and facilitate data governance.</p><p>&#9679; <b>Evaluate and adopt new data engineering tools and technologies</b> to continuously improve our data infrastructure and processes.</p><p>&#9679; <b>Troubleshoot and resolve data-related issues</b> across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.</p><p>&#9679; <b>Document data pipelines, data models, and data engineering processes</b> clearly and concisely for both technical and non-technical stakeholders.</p><p><b>What You'll Bring:</b></p><p>&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.</p><p>&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.</p><p>&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.</p><p>&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).</p><p>&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).</p><p>&#9679; Strong proficiency in SQL and experience with various database systems, including:</p><p>&#9675; <b>Relational Databases:</b> (e.g., PostgreSQL, SQL Server, Azure SQL Database).</p><p>&#9675; <b>NoSQL Databases:</b> (e.g., MongoDB, Cassandra, Azure Cosmos DB).</p><p>&#9675; <b>Vector Databases:</b> (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).</p><p>&#9675; <b>Graph Databases:</b> (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).</p><p>&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.</p><p>&#9679; Experience with data governance frameworks, data quality management, and data security principles.</p><p>&#9679; Experience with data monitoring and alerting tools.</p><p>&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.</p><p>&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.</p><p>&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.</p><p><b>Bonus Points For:</b></p><p>&#9679; Experience with data virtualization technologies.</p><p>&#9679; Experience with building real-time data pipelines.</p><p>&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).</p><p>&#9679; Experience with implementing data mesh concepts.</p><p>&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.</p><p>&#9679; Certifications in relevant cloud platforms or data engineering technologies.</p><p>&#9679; Experience working with government data regulations and compliance standards.</p><p>Job Type: Full-time</p><p>Pay: From AED20,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul><p>License/Certification:</p><ul><li>Emirates ID (Required)</li></ul>

Senior Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an experienced Power Platform Lead to architect, implement, and govern the enterprise-wide automation and low-code initiatives using Microsoft's Power Platform ecosystem (Power Apps, Power Automate, Power BI, Copilot Studio, and Dataverse).<br>
The ideal candidate will be responsible for driving end-to-end automation delivery, defining fitment and adoption strategy, and ensuring alignment between business needs and technology solutions. This role demands a blend of technical depth, leadership maturity, and stakeholder engagement skills to transform automation practices across the organization.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Automation Architecture &amp; Platform Leadership
</p></div><div><p>Architect, design, and implement enterprise-grade automation solutions using Power Apps, Power Automate, and Copilot Studio.
</p></div><div><p>Define and enforce Power Platform governance, solution design principles, and environment strategies.
</p></div><div><p>Oversee implementation of Dataverse data models, connectors, and integration logic for cross-system workflows.
</p></div><div><p>Manage lifecycle of Power Platform solutions from ideation to productionization, ensuring scalability, performance, and compliance.
</p></div><div><p>Enterprise Integration &amp; Fitment Definition
</p></div><div><p>Lead fitment assessment discussions for new business process automation use cases.
</p></div><div><p>Evaluate system interdependencies and define integration architecture between Power Platform, ERP, CRM, and custom applications.
</p></div><div><p>Collaborate with enterprise architects to establish integration patterns leveraging APIs, Microsoft Graph, and Azure connectors.
</p></div><div><p>Drive adoption of Copilot Studio agents for conversational automation and AI-based process augmentation.
</p></div><div><p>Leadership &amp; Delivery Management
</p></div><div><p>Lead cross-functional low-code development teams, ensuring technical quality and delivery efficiency.
</p></div><div><p>Define delivery frameworks, reusable components, and best practices for citizen and professional developers.
</p></div><div><p>Mentor team members on design, reusability, and governance across environments (Dev, Test, Prod).
</p></div><div><p>Act as the technical authority and escalation point for Power Platform development challenges.
</p></div><div><p>Stakeholder Engagement &amp; Business Partnership
</p></div><div><p>Engage with business stakeholders to translate process requirements into technical automation blueprints.
</p></div><div><p>Facilitate workshops and design sessions to identify automation opportunities and evaluate ROI.
</p></div><div><p>Communicate solution strategies and progress to executive and business sponsors.
</p></div><div><p>Ensure alignment of Power Platform strategy with organizational digital transformation roadmap.
</p></div><div><p>Innovation &amp; Continuous Improvement
</p></div><div><p>Promote AI-infused automation, leveraging Microsoft Copilot and AI Builder capabilities.
</p></div><div><p>Identify opportunities to optimize cost, performance, and maintainability of solutions.
</p></div><div><p>Stay abreast of Microsoft Power Platform roadmap and integrate emerging features proactively.
</p></div><div><p>Foster a culture of reusability and low-code enablement across business functions.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
</p></div><div><p>10+ years of overall experience in application development and 5+ years in Power Platform technical lead position.
</p></div><div><p>Proven expertise in Microsoft Power Platform &mdash; Power Apps (Canvas &amp; Model-driven), Power Automate, Power BI, Dataverse, and Copilot Studio.
</p></div><div><p>Strong understanding of automation fitment, governance frameworks, and Center of Excellence (CoE) models.
</p></div><div><p>Hands-on experience integrating Power Platform with SharePoint, Azure, SQL Server, and enterprise systems (Oracle/CRM).
</p></div><div><p>Proficiency in PowerFX, SQL, and basic scripting for automation orchestration.
</p></div><div><p>Demonstrated experience in leading multi-team delivery, managing sprints, and ensuring high-quality output.
</p></div></div><p>Nice to have
</p><div><div><p>Strong stakeholder management and executive communication.
</p></div><div><p>Ability to bridge business needs with technology capabilities.
</p></div><div><p>Excellent problem-solving, decision-making, and conflict-resolution skills.
</p></div><div><p>Strategic thinker with a delivery-focused mindset.
</p></div><div><p>Proven leadership in team mentorship and talent development
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Power Platform Solution Architect Expert (PL-600)
</p></div><div><p>Microsoft Certified: Power Platform Developer (PL-400)
</p></div><div><p>Microsoft Certified: Power Platform Functional Consultant (PL-200)
</p></div><div><p>Microsoft Certified: Power Platform Fundamentals (PL-900)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118725
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>04/11/2025
</p></div><div><p>Req. VR-118725</p></div></div></div><p></p>

Automation Power Platform Lead

Lucerna Tech

<p><b>Main tasks and responsibilities:</b></p><p>&#65533; Responsible for conducting, leading and coordinating software development activities throughout the project, including key design decisions for the technology, structure and configuration of the system.</p><p>&#65533; Manage development teams by conducting daily stand ups, ensuring sprints are completed on time and removing impediments.</p><p>&#65533; Participate in code development partially by actively writing code and conducting unit testing.</p><p>&#65533; Provide technical leadership for project and team through design and code reviews, ensuring best technical practices are applied.</p><p>&#65533; Participate in the interviewing, training, overseeing and appraising team members.</p><p>&#65533; Responsible for ensuring project estimates and schedules are created.</p><p>&#65533; Evaluate new technologies and evaluating how they could be integrated.</p><p>&#65533; Map the manpower needs for his team and participate in the recruitment process.</p><p>&#65533; Assists in technical backlog prioritization, planning and communication.</p><p>&#65533; Provides technical guidance and coaching to team members.</p><p>&#65533; Provide high level estimates for required stories to make them refined stories.</p><p>&#65533; Cross functional alignments for shared components and architecture decision</p><p>&#65533; Act as key member of enterprise architecture(Solution/Technical) team for both technical and business componentsThis position is responsible for managing software development teams by providing technical direction and helping to ensure that the project is completed on time. This position will also be responsible for designing and developing software applications, unit testing, debugging new and/or existing software, performance tuning and optimization of existing code.</p><p><b>Required skills and qualifications:</b></p><ul><li><b>Education</b>: B.SC. Of computer science or equivalent.</li><li><b>Experience</b>: 8+ years.</li></ul><p>3. Proficient with source code control and object-oriented analysis &amp; design (OOAD)</p><p>4. Excellent English reading and writing skills</p><p>5. Strong oral presentation and written communication skills</p><p>6. Ability to learn new technologies.</p><p>7. Must have excellent problem solving skills</p><p>8. Overcoming technical challenges.</p><p>9. Web development methodologies</p><p>10. Web services development</p><p>11. Microservices architecture</p><p>12. Reverse Engineering concepts</p><p>13. Code Quality practices including Unit Testing</p><p>14. Agile methodology concepts and practice</p><p>15. Database development</p><p>16. Design principles, design patterns, and microservices design patterns</p><p><b>a. Tools:</b></p><p>&#65533; Visual studio.</p><p>&#65533; IntelliJ IDEA</p><p>&#65533; SOAP UI</p><p>&#65533; Postman</p><p>&#65533; HTML5 and CSS3</p><p>&#65533; React</p><p>&#65533; Netflix Zuul</p><p>&#65533; Swagger</p><p>&#65533; Oauth2 Security</p><p>&#65533; Spring Framework</p><p>&#65533; Spring Boot</p><p>&#65533; Spring Security</p><p>&#65533; Spring MVC</p><p>&#65533; Spring Data</p><p>&#65533; Maven</p><p>&#65533; Hibernate</p><p>&#65533; Liquibase</p><p>&#65533; Caching (Hazelcast)</p><p>&#65533; Thymeleaf</p><p>&#65533; Micrometer</p><p>&#65533; WebSocket</p><p>&#65533; H2</p><p>&#65533; Oracle</p><p>&#65533; Hystrix</p><p>&#65533; Feign</p><p>&#65533; RedHat OpenShift Containers Platform</p><p>&#65533; Azure DevOps Boards</p><p>&#65533; Kafka</p><p>&#65533; Spring Cloud</p><p>&#65533; Enterprise Architect</p><p>Job Types: Full-time, Contract<br/>Contract length: 6 months</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Full Stack Developer: 6 years (Required)</li></ul>

Full-Stack - Team Lead

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