Key Responsibilities

Design and implement data solutions using Microsoft Fabric, including OneLake, Lakehouse / Warehouse, Data Engineering, Data Factory, Data Science, Real-Time Analytics, and Power BI semantic models and reports.
Build ingestion, transformation, and analytics pipelines using Fabric capabilities, supporting batch, streaming, and near real-time processing patterns.
Develop and optimise data pipelines, lakehouse / warehouse models, and Power BI artefacts; apply strong Structured Query Language (SQL), data modelling, and analytical design practices.
Implement data quality, lineage, and metadata practices; apply data governance using Microsoft Purview and Fabric capabilities.
Support operations including monitoring, performance tuning, cost optimisation, environment management, deployment, and lifecycle management.
Collaborate with business users, analysts, data teams, cloud architects, and security teams; advise on Fabric capabilities and design trade-offs, and contribute to documentation/runbooks and best practices.

Skills, Experience and Competencies

Technical Skills

Strong expertise in Microsoft Fabric and modern lakehouse architecture (including OneLake, Lakehouse / Warehouse, and Fabric experiences such as Data Engineering and Data Factory).
Experience with data ingestion, transformation, and analytics pipelines (batch, streaming, near real-time) using Fabric capabilities.
Strong SQL, data modelling, and analytical design skills; ability to build and optimise lakehouse / warehouse models and semantic models.
Experience with Power BI semantic models and reporting; ability to enable enterprise-grade analytics and reporting solutions.
Understanding of data governance, security, monitoring, and cost optimisation in modern data platforms; ability to contribute to operational runbooks and best practices.

Experience Required

8–10+ years of data analytics experience and designing enterprise data platforms
Proven experience defining modern data strategies and platforms (Fabric / Azure Synapse / Power BI)
Strong delivery, design, and stakeholder engagement skills
Proven experience on developing data / BI
Strong focus on implementation and development

Competencies

Data product mindset, treating datasets, semantic models and reporting outputs as products with clear owners, consumers, quality measures and lifecycle management.
Business-to-technical translation and collaboration, working with stakeholders and delivery teams to shape use cases and requirements, and translating them into practical Fabric design decisions and incremental delivery plans.
Governance and security by design embedding access control, privacy, lineage and compliance requirements into the Fabric solution from the outset.
Iterative, outcome-driven delivery executing value in increments (ingestion lakehouse / warehouse semantic model reports), validates with users, and applies reusable patterns and automation to improve consistency.
Quality, observability and operational readiness, applying testing, reconciliation and monitoring; produces clear documentation and runbooks to support sustainable operations.

Qualifications and Certifications

Microsoft Fabric Manager