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.