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 Certified: Fabric Analytics Engineer (preferred).
- Microsoft Certified: Azure Data Engineer and/or Azure Data Analyst (preferred).
- Architect level (desirable): Azure Solutions Architect Expert.
