This is a technical, customer-facing role responsible for end-to-end delivery of modern Cloud Data Platforms and Analytics solutions using Microsoft technologies.
The incumbent will lead technical engagements with clients, including architectural design, and implementation of scalable, secure, enterprise-grade data platforms that enable insights, analytics, and business intelligence.
You will guide solutioning across Microsoft Azure, Microsoft Fabric, and associated data services, ensuring effective adoption of cloud-native analytics patterns and governance best practices.
Key Responsibilities
Technical Leadership & Customer Engagement
- Participate in technical customer engagements including solution workshops, discovery & assessments, architectural design, road-mapping, scoping, estimation, and proof-of-concepts.
- Participate in technical pre-sales activities to articulate solution value, design choices, deployment options, and recommend best practices.
- Advocate for modern data architecture principles like Data Lakehouse, real-time analytics, event-driven architectures, and API-first integration.
- Engage with stakeholders (business & IT) to translate business use cases into scalable data platform solutions.
Architecture & Design
- Own the architecture design for Cloud Data Platforms using Microsoft Azure and Fabric services, covering storage, ingestion, transformation, serving layers, security, and governance.
- Design and govern data lake / lakehouse, data warehouses, semantic models, and analytics datasets.
- Ensure architectural decisions consider security, compliance, DR/BCP, networking, high availability, observability, performance, and cost optimization.
Platform Development & Delivery
- Guide implementation of data ingestion, ETL/ELT, transformation, orchestration pipelines, leveraging native services and frameworks.
- Oversee development of analytics layers, data products, dashboards and self-service BI environments for enterprise reporting and insights.
- Drive modernization of legacy data estates into cloud-native platforms.
Governance, Compliance & Security
- Define and enforce data governance, metadata management, data quality, and security frameworks.
- Partner with security and compliance teams to implement role-based access controls, encryption, auditing, and policy enforcement.
- Drive adoption of data cataloging and governance tools to ensure discoverability and trust.
Team & Knowledge Leadership
- Mentor and guide data engineering, analytics, and DevOps teams.
- Promote reusable architectural patterns, accelerators, and best practices.
- Represent the organization as a technical authority in client discussions, workshops, and design forums.
Desired Technical Skills
Microsoft Cloud & Analytics Platforms
- Microsoft Azure: Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL / Managed Instance, Azure Databricks, Azure Cognitive Search.
- Microsoft Fabric: OneLake, Data Engineering in Fabric (Pipelines, Spark), Data Warehouse in Fabric, Real-Time Analytics, Power BI integration, governance via Fabric services.
- Power BI: Premium semantic models, dashboards, report lifecycle, security integration.
- Azure Governance & Security: Azure Policy, Blueprints, RBAC, Entra ID (formerly Azure AD), Key Vault.
Data Platform & Architecture
- Data Lake / Lakehouse, Data Warehouse & MPP design patterns.
- ETL/ELT orchestration using ADF, Fabric pipelines, Databricks, or similar frameworks.
- Data modelling (star schema, snowflake), metadata management, data quality frameworks.
- Real-time data streaming / event ingestion frameworks (e.g., Event Hubs, Kafka, Fabric streaming).
Development & Tools
- Programming & scripting: SQL, Python, DAX (Power BI), potentially Spark/Scala.
- Infrastructure as Code & CI/CD: ARM/Bicep, Terraform, Azure DevOps or GitHub Actions.
- Monitoring & logging dashboards for reliability & performance.
Architecture & Best Practices
- Enterprise architecture standards, solution patterns, reference architectures.
- Cloud cost optimization, performance tuning, operational excellence frameworks.
Preferred Qualifications
- Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Microsoft Fabric Data Engineer, or equivalent.
- Experience with multi-cloud or hybrid data platforms (AWS, GCP, Snowflake) is a plus.
- Prior consulting or customer-facing solution architecture experience.
Professional & Leadership Skills
- Strong client communication & presentation skills.
- Ability to influence technical decisions at senior stakeholder levels.
- Strategic mindset with passion for innovation and cloud-first transformation.
Education & Experience
- Bachelor’s/Master’s degree in Computer Science, Engineering, IT, or equivalent.
- 5+ years of experience in data platform architecture, cloud solutions, or analytics technology leadership roles.
Why Join Us
Be part of a dynamic team where you influence data-driven transformation for leading organizations, shape innovative data platforms using Microsoft’s latest cloud technology, and contribute to strategic analytics modernization programs.
