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Insight360 is a forward-thinking consultancy and implementation firm at the forefront of AI and data analytics. With a rich portfolio of over 100 successful projects spanning various industries and global locations, we specialize in guiding organizations towards Smart Decision Support Systems. Our mission is to equip decision-makers with intelligent insights, leveraging a robust methodology that seamlessly integrates data analytics with overarching business strategies and objectives. Renowned for our unwavering commitment to delivering tangible business value, we employ cutting-edge technologies and tools, earning us the esteemed reputation of being a trusted partner in the industry.
Job Details
- Job Title: Technical Architect Azure Fabric and Databricks
- Location: Dubai
- Department: Technical Delivery
- Reports To: Tech Lead - Data and AI delivery
- Employment Type: Full-time
Job Summary
We are seeking an experienced Technical Architect with deep expertise in Microsoft Azure ecosystem —particularly Azure Fabric (Azure Service Fabric / Azure Integration Services) and Azure Databricks —to lead the design, development, and deployment of scalable, secure, and high-performance data and application architectures. This role will work closely with data engineers, Data scientists and business stakeholders to implement enterprise-grade solutions using modern cloud-native frameworks and data platforms.
Key Responsibilities
- Design end-to-end cloud-native architectures using Azure Fabric services (Service Fabric, Logic Apps, Azure Functions, API Management).
- Architect big data pipelines and advanced analytics solutions using Azure Databricks, Delta Lake, and Spark.
- Define integration patterns, data flows, microservices, and distributed computing frameworks.
- Ensure solutions meet enterprise architecture standards, security, and compliance requirements.
Implementation & Delivery
- Lead the technical delivery of projects, guiding development teams on best practices in Azure DevOps, CI/CD, and Infrastructure as Code (IaC).
- Implement high-throughput, low-latency systems optimized for data ingestion, processing, and visualization.
- Collaborate with Data Scientists and ML Engineers to integrate ML models into Databricks workflows and pipelines.
Stakeholder Engagement
- Engage with business and technical stakeholders to translate functional requirements into technical solutions.
- Provide architectural guidance and technical leadership across multiple teams and stakeholders.
- Conduct technical reviews, PoCs, and design validation workshops.
Governance & Optimization
- Drive cost optimization, performance tuning, and monitoring of Azure and Databricks workloads.
- Define and implement governance models for data and platform usage across environments.
- Ensure observability and traceability across microservices and data flows.
Qualifications
Technical Skills
- 5+ years in IT with at least 3 years in cloud solution architecture.
- Experience with CI/CD pipelines, ARM/Bicep/Terraform, and Azure DevOps.
- Good understanding of data security, RBAC, managed identities, and networking in Azure.
Soft Skills
- Strong communication and leadership abilities.
- Excellent problem-solving and critical thinking.
- Proven ability to mentor and guide engineering teams.
Preferred Certifications
- Microsoft Certified: Azure Solutions Architect Expert
- Databricks Certified Data Engineer or Solutions Architect
Nice to Have
- Experience with Kubernetes, AKS, or Azure Machine Learning.
- Exposure to data governance frameworks like NDMO, DAMA, or Microsoft Purview.
- Experience with public sector or large enterprise-scale data modernization projects.
Additional Information
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology, IT Services and IT Consulting
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