[Hiring] Lead Data Engineer @Sparix Global.

Role Description

We are seeking a high-caliber Lead Data Engineer with a decade of experience to spearhead our transition into the Microsoft Fabric ecosystem. You will be responsible for designing and implementing end-to-end data solutions, leveraging OneLake, Lakehouses, and Warehouse architectures. As a Lead, you will provide technical governance, mentor junior engineers, and ensure our data platform is scalable, secure, and optimized for real-time analytics.

Key Responsibilities

• Architecture & Design: Design and build modern data architectures using Medallion Architecture (Bronze/Silver/Gold) within Microsoft Fabric.
• Data Engineering: Develop complex data pipelines using Data Factory (Dataflows Gen2) and Fabric Notebooks (PySpark).
• Semantic Modeling: Build and optimize high-performance Semantic Models and implement Direct Lake connectivity for seamless Power BI integration.
• Governance & Security: Implement workspace-level security, OneLake shortcuts, and manage capacity settings to ensure cost-efficient performance.
• DataOps & CI/CD: Lead the integration of Fabric workspaces with Git (Azure DevOps/GitHub) and manage deployment pipelines.
• Leadership: Act as the subject matter expert (SME) for Microsoft Fabric, providing technical guidance to stakeholders and mentoring a team of data engineers.

Qualifications

• Core Experience: 10+ years in Data Engineering, with a heavy focus on the Microsoft Azure Data Stack (ADF, Synapse, Databricks, SQL DW).
• Fabric Expertise: Hands-on experience with OneLake, Lakehouse, Data Warehouse, and KQL Databases.
• Advanced Querying: Expert-level proficiency in T-SQL, PySpark, and DAX.
• Modeling Mastery: Proven experience in Star Schema design and dimensional modeling.
• Certification: Mandatory DP-700 Certification. Other certifications like DP-203 (Azure Data Engineer) are a significant plus.

Preferred Soft Skills

• Strategic Thinking: Ability to map business requirements to technical architecture.
• Communication: Excellent verbal and written skills to interact with global stakeholders.
• Problem-Solving: A proactive approach to troubleshooting performance bottlenecks in a SaaS environment.