Lead Data Architect (Azure & Modern Data Stack)

About the Role
We are looking for an experienced Lead Data Architect to drive the vision, design, and deployment of enterprise-scale cloud data solutions. In this role, you will bridge business strategy with modern technical architecture, transforming complex requirements into high-performing, scalable cloud data infrastructures.
Responsibilities:
Solution Architecture: Translate client business requirements into optimal, enterprise-grade cloud and hybrid architectures.
Data Strategy & Governance: Define, document, and present architecture frameworks and value propositions; lead technical governance across design, build, and deployment phases.
Modernization & Migration: Lead end-to-end migrations from on-premises data platforms to modern, cloud-native data warehouses and data lakes.
Data Engineering & Acceleration: Drive dimensional data modeling, query optimization, and the creation of data accelerators to boost productivity and automation.
Stakeholder Engagement: Partner with business sponsors and cross-functional teams to ratify technical constraints, requirements, and project scope.
Security & Compliance: Ensure all data pipelines, storage, and architectures align with data security measures, governance standards, and regulatory compliance.
Requirements:
Architectural Leadership: Proven experience designing enterprise-scale cloud infrastructures, database migrations, and cloud-native data platforms.
Microsoft Azure Stack: Deep expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, Azure Data Explorer, and exposure to Microsoft Fabric.
Big Data & Analytics: Hands-on proficiency with PySpark, SQL development, transactional/time-series data, and structured/unstructured datasets.
Data Modeling: Strong experience in dimensional data modeling, database design, and query/storage performance tuning.
Advanced Analytics & AI/ML: Familiarity with Azure ML, TensorFlow, or similar frameworks, alongside data visualization tools such as Power BI or Tableau.
DevOps & MLOps: Practical knowledge of CI/CD, DevOps, and MLOps practices for managing software and service lifecycles.
Soft Skills: Excellent client-facing communication, collaboration, and consultative skills.
Preferred Qualification:
Certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.
Hands-on experience developing reusable data acceleration assets and automation frameworks.

Work arrangement
No