cloud engineer

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity &amp; access management, security tools, and underlying cloud infrastructure.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
 </li>
 <li>
 Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
 </li>
 <li>
 Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
 </li>
 <li>
 Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
 </li>
 <li>
 Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
 </li>
 <li>
 Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
 </li>
 <li>
 Track record of independent ownership of successful engineering projects
 </li>
 <li>
 Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.
 </li>
 <li>
 Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
 </li>
 <li>
 Solid foundation and real-world experience in network engineering
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 <li>
 Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
 </li>
 <li>
 Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
 </li>
 <li>
 Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
 </li>
 <li>
 Experience with hybrid or on-prem systems
 </li>
 <li>
 Experience with orchestration platforms, such as Temporal and AWS Step Functions
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

DevOps Engineer, IPS

PayLater

Role PurposeOwn and scale the cloud infrastructure, CI/CD, and reliability of a regulated BNPL platform. Ensure secure, automated, and resilient delivery of production systems while supporting rapid product iteration in a fintech environment.Key Responsibilities<ul><li>Design, implement, and operate cloud infrastructure (GCP / AWS / Azure)</li><li>Own CI/CD pipelines, release automation, and environment management</li><li>Implement and maintain Infrastructure as Code (Terraform or equivalent)</li><li>Ensure high availability, scalability, backup, and disaster recovery</li><li>Implement monitoring, logging, and alerting for production systems</li><li>Lead incident response and post-incident reviews</li><li>Embed DevSecOps practices across engineering teams</li><li>Collaborate closely with engineering, security, and compliance teams</li></ul>Required Experience<ul><li>5+ years of experience in DevOps or Cloud Engineering</li><li>Mandatory experience working in a fintech or product-led technology company</li><li>Strong hands-on experience with containers and Kubernetes</li><li>Experience with CI/CD tooling and Git-based workflows</li><li>Knowledge of cloud security and networking fundamentals</li></ul>Job Type: Full-time

DevOps Lead (Fintech)

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Be a team player
 </li>
 <li>
 Infrastructure automatization
 </li>
 <li>
 Diagnostic, monitoring and administration of application and infrastructure
 </li>
 <li>
 Microservices and Infrastructure optimization
 </li>
 <li>
 Implementation of CI/CD processes
 </li>
 <li>
 Close interaction with development team
 </li>
 <li>
 On-Call duties
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 3+ years as Site Reliability Engineer/DevOps/DevSecOps working on large scale/distributed systems
 </li>
 <li>
 Experience working with AGILE methodology
 </li>
 <li>
 Strong Unix/Linux troubleshooting experience
 </li>
 <li>
 Experience with cloud platforms (AWS)
 </li>
 <li>
 Advanced knowledge of containerization and manage of orchestration tools in at least one of following technologies ECS / Kubernetes
 </li>
 <li>
 Good administration skills at SQL and NoSQL databases (PostgreSQL, MongoDB)
 </li>
 <li>
 Experience implementing/automating using CICD tools (GitLab, GitHub)
 </li>
 <li>
 Experience with logging, monitoring and tracing tools (Prometheus, Grafana, ElasticSearch, Datadog, etc.)
 </li>
 <li>
 Advanced knowledge with IaC tools (Terraform, Pulumi)
 </li>
 <li>
 Development skills oriented to automating tasks (Python, Golang, NodeJs)
 </li>
 <li>
 Good knowledge of basic networking fundamentals &amp; troubleshooting tools
 </li>
 <li>
 Proven experience creating distributed systems tools of moderate to high complexity
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Remote &amp; Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 
 🌺 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a tech team where your code sparks change, your voice is heard, and your growth is guaranteed. Let&rsquo;s make some tech magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

DevOps Engineer

Candidzone

Requirements:<ul><li>Minimum 5 years of professional experience in IT Systems within the GCC</li><li>Bachelor&rsquo;s degree in IT, Computer Science, or a related field</li><li>Microsoft Azure &amp; Google Cloud certifications (preferred)</li><li>Proven experience as a Systems Engineer with strong focus on Azure &amp; GCP</li><li>Solid knowledge of cloud services, virtualization, and storage</li><li>Valid QID and immediate joining preferred</li></ul>Job Type: Full-time

IT System Engineer

Starlink Qatar

<div>
 
 Job Responsibilities :
 
 
 
 
 
 
 Data Security Engineering:
 
 
 
 &bull; Design and implement data protection controls across enterprise, cloud environments and Artificial Intelligence Solutions.
 
 
 &bull; Deploy and manage solutions such as Data Loss Prevention (DLP), data masking, and tokenization.
 
 
 &bull; Collaborate with application and infrastructure teams to embed security into data lifecycle management.
 
 
 &bull; Implement and manage data discovery and classification tools to identify, categorize, and label sensitive data across the organization.
 
 
 &bull; Continuously monitor data security posture and produce regular compliance and risk reports.
 
 
 &bull; Assist the incident response team to Investigate and respond to data security incidents, including insider threats and breaches.
 
 
 
 Cloud Data Security:
 
 
 
 &bull; Implement and manage data protection controls in GCP and Azure.
 
 
 &bull; Secure databases and data lakes.
 
 
 &bull; Configure encryption at rest, in transit, and in use, with BYOK strategies.
 
 
 &bull; Deploy cloud-native data discovery and classification solutions.
 
 
 &bull; Manage secrets management and ensure secure access to data storage systems.
 
 
 &bull; Implement controls for AI data governance.
 
 
 
 Cryptography:
 
 
 
 &bull; Define and enforce cryptographic practices and key management standards.
 
 
 &bull; Manage enterprise encryption practices for data at rest, in transit, and in use.
 
 
 &bull; Ensure compliance with organizational and industry cryptographic standards.
 
 
 
 Data Privacy:
 
 
 
 &bull; Ensure compliance with privacy regulations (GDPR, HIPAA, PDPPL).
 
 
 &bull; Embed privacy-by-design principles and requirements into technical controls.
 
 
 &bull; Drive data classification and governance programs to safeguard personal and sensitive information.
 
 
 
 Database Security:
 
 
 
 &bull; Secure structured and unstructured data repositories, including relational and NoSQL databases.
 
 
 &bull; Implement database activity monitoring (DAM) and user access controls.
 
 
 &bull; Perform regular security reviews and hardening of database systems.
 
 
 Collaboration and Governance:
 
 
 &bull; Collaborate with other stakeholders on data protection strategies.
 
 
 &bull; Ensure compliance with Qatar&rsquo;s NCSA framework and international standards.
 
 
 &bull; Conduct data security assessments for vendors and third-party integrations.
 
 
 &bull; Review and approve data sharing agreements.
 
 
 &bull; Define and track data security KPIs and metrics.
 
 
 &bull; Maintain Data security dashboards for continuous monitoring.
 
 
 &bull; Stay current with emerging threats, technologies, and industry best practices.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 8+ years of hands-on experience in IAM engineering, administration, and PAM implementation.
 </li>
 <li>
 Arabic Speaker is preferred
 </li>
 <li>
 Hands-on experience implementing and managing enterprise IAM platforms. Deep technical expertise in GCP IAM (Cloud Identity, Workforce/Workload Identity Federation, IAM policies, service accounts, Identity-Aware Proxy). Proven experience with Privileged Access Management (PAM) solutions and securing privileged accounts. Experience with Identity Governance and Administration (IGA) platforms and access certification. Strong background in Active Directory architecture, administration, and security hardening.
 </li>
 <li>
 Experience integrating IAM with enterprise applications, SaaS platforms, and APIs.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Security, or related field.
 
 
 Certifications:
 
 
 &bull; CISSP, CCSP, Azure Security Engineer, GCP Professional Cloud Security Engineer, CyberArk Certified Trustee/Defender, SailPoint Certified IdentityNow / IdentityIQ Professional
 
 
 &bull; Cloud security certifications (GCP, Azure, or AWS Security Specialty) - preferred.
 
 
 Required Skillsets:
 
 
 &bull; Hands-on experience with leading enterprise IAM and IGA platforms.
 
 
 &bull; Experience in Managing PAM Solution.
 
 
 &bull; Deep technical expertise in Azure IAM (Entra ID, Conditional Access, PIM, MFA, Entitlement Management).
 
 
 &bull; Experience in Configuring and Managing Cloud IDP for hybrid cloud platforms.
 
 
 &bull; Experience in securely managing the service account life cycle.
 
 
 &bull; Experience in Implementing Role-Based Access Control (RBAC) frameworks and designing custom IAM roles and permission sets.
 
</div>

Information Security Officer - Data Security Specialist

MEEZA QSTP

<div>
 
 
 Security Infrastructure Engineer
 
 
 
 
 Functional Responsibilities:
 
 
 
 
 Data Ingestion and Normalization
 
 
 <ul>
 <li>
 Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.
 </li>
 <li>
 Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).
 </li>
 <li>
 Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.
 </li>
 </ul>
 
 
 
 
 
 SOAR &amp; Automation Engineering
 
 
 <ul>
 <li>
 Playbook Development: Design and code automated incident response playbooks in Google SOAR using Python and visual builders.
 </li>
 <li>
 Connector Engineering: Build and maintain API integrations between Google SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).
 </li>
 <li>
 Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.
 </li>
 <li>
 Case Management Configuration: Tailoring the SOAR environment to fit the SOC&rsquo;s operational needs, including custom fields, stages, and SLA tracking.
 </li>
 </ul>
 
 
 
 
 
 Platform Administration and Optimization
 
 
 <ul>
 <li>
 System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.
 </li>
 <li>
 Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.
 </li>
 <li>
 Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with SOC Team
 
 
 <ul>
 <li>
 Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and "noise" levels.
 </li>
 <li>
 Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Google SOAR playbooks.
 </li>
 <li>
 Training &amp; Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the Google SecOps interface to speed up investigations.
 </li>
 </ul>
 
 
 Alignment with Infrastructure Team
 
 
 <ul>
 <li>
 Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.
 </li>
 <li>
 Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.
 </li>
 <li>
 Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.
 </li>
 </ul>
 
 Knowledge, Skills &amp; Experience
 
 
 Academic &amp; Professional Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, IT, Cybersecurity, or equivalent.
 </li>
 <li>
 SIEM Certification (e.g., Google SecOps, Splunk, Azure Sentinel).
 </li>
 </ul>
 
 Preferred:
 
 <ul>
 <li>
 Security certifications such as Security+, CySA+, CEH, CISSP, GCIH
 </li>
 </ul>
 
 Experience:
 
 <ul>
 <li>
 3&ndash;5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.
 </li>
 </ul>
 
 
 
 
 
 Skills and Requirements:
 
 
 
 
 Technical Skills (Must Have)
 
 
 <ul>
 <li>
 SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1&ndash;2 years specifically focused on Google SecOps (Chronicle).
 </li>
 <li>
 Coding &amp; Scripting: Professional experience using Python to automate security workflows or build custom API connectors.
 </li>
 <li>
 Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.
 </li>
 <li>
 Languages: Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.
 </li>
 <li>
 Frameworks: MITRE ATT&amp;CK, NIST Cybersecurity Framework.
 </li>
 <li>
 Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).
 </li>
 <li>
 Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical thinking and problem-solving capability.
 </li>
 <li>
 Excellent communication skills, able to explain technical findings to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently, manage multiple priorities, and meet deadlines.
 </li>
 <li>
 Attention to detail and a structured, documentation-driven mindset.
 </li>
 </ul>
 
 
</div>

Security Infrastructure Engineer

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

Explore 462+ Cloud engineer in Doha Qatar this January. Find roles across top companies and apply now to boost your career.