Cloud Solution Architect

If so, our client is currently seeking a Data Solution Architect to lead initiatives that support real-time analytics, AI/ML, secure data management, and enterprise-wide integration strategies especially within complex environments such as IoT and telemetry systems., The successful candidate will be a highly experienced Cloud Solution Architect to join our growing team. This role is responsible for designing, implementing, and optimizing large-scale data and cloud solutions across Azure, Databricks, and Microsoft Fabric., * Architect and implement scalable, secure, and high-performance data platforms using Azure, Databricks, and Microsoft Fabric for real-time and batch processing.

• Lead integration across structured and unstructured data sources such as SCADA, SAP, APIs, telemetry, and time-series data using modern ETL/ELT patterns.
• Establish robust data governance, security, and compliance frameworks including data masking, encryption, lineage, access controls, and regulatory adherence (e.g., GDPR, ISO 27001).
• Design and optimize cloud-native storage and compute architectures using Delta Lake, ADLS Gen2, Synapse, Azure SQL, Cosmos DB, and NoSQL for petabyte-scale workloads.
• Implement event-driven and real-time streaming architectures using Kafka, Azure Event Hubs, IoT Hub, and Lambda architecture patterns.
• Drive DevOps and IaC practices through automated CI/CD pipelines using tools such as Terraform, Bicep, Azure DevOps, and GitHub Actions.
• Collaborate with cross-functional stakeholders including business leads, engineers, security, and vendors to align technology with strategic business outcomes.
• Implement monitoring, observability, and disaster recovery strategies ensuring high availability, system resilience, and proactive issue resolution.
• Lead AI/ML and analytics integrations with Databricks, Power BI, and MDM platforms to enable advanced reporting and insights.
• Mentor and enable internal teams through technical training, knowledge-sharing sessions, and architectural best practices to promote a data-driven culture.

Essential skills/knowledge/experience: (Up to 10)

• Azure Data Factory, Synapse Analytics, Azure Databricks
• ADLS, Azure Blob, Azure SQL DB, Cosmos DB, Delta Lake, Oracle DB
• Azure Event Hub, Azure Kafka, Azure IoT Hub, ADX
• Fabric including OneLake
• CI/CD using Azure DevOps, GitHub, ARM
• Experience with unstructured data
• Data Model, Data Mapping, ETL Mapping
• Data Governance (Purview, Databrick Unity Catlog)
• Data Profiling, Data Quality, Security
• MDM (Profisee, Informatica)
• HADR, AI/ML
• Compute, network strategies (Private Endpoint, Vnet, ExpressRoute)
• Security frameworks, IAM, RBAC, firewall rules, Zero Trust architecture
• Threat modelling, risk assessments
• Monitoring, Logging
• Cost and performance management

1. Proven track record in managing complex, large-scale data environments (1000TB+) with prior experience in the utilities or telemetry/SCADA systems domain is a strong plus.
2. Extensive experience in cloud data architecture, infrastructure, and real-time data integration especially on Azure, Databricks, Synapse and Fabric with proficiencies in streaming platforms, infrastructure automation and Data Governance/MDM tools (e.g., Microsoft Purview, Profisee, Informatica, Databricks Unity Catalog etc.)?