Lead Big Data Engineer; MS Fabric

In this role, you will contribute to designing and implementing modern data platforms based on Microsoft Fabric and Azure technologies. You will work closely with technical and business stakeholders, support architecture discussions, and guide engineering teams in delivering scalable and reliable data solutions. You will participate throughout the entire project lifecycle, helping organizations modernize their data ecosystems and unlock business value from data.

• Design and develop scalable data solutions using Microsoft Fabric and Azure services
• Build and maintain batch and streaming data pipelines to support analytics and business reporting needs
• Design and implement data models, data integration processes, and Lakehouse architectures
• Collaborate with technical and business stakeholders to gather requirements and translate them into effective data solutions
• Participate in architecture discussions, evaluate technical options, and contribute to solution design decisions
• Support engineering teams by providing technical guidance and promoting best practices in data engineering
• Work with Azure services and Microsoft Fabric components, including Lakehouse, Data Warehouse, One Lake, and Real-Time Analytics
• Optimize data processing performance, reliability, and scalability across data platforms
• Contribute to knowledge sharing, continuous improvement initiatives, and engineering excellence within the team

• 5+ years of experience in Data Engineering
• Hands‑on experience with Microsoft Fabric and its core components, including Lakehouse, Data Warehouse, One Lake, and Analytics workloads
• Strong proficiency in Python, PySpark, and SQL
• Experience designing data models and building scalable ETL/ELT pipelines
• Strong understanding of Azure data services, including Azure Synapse, Azure Data Lake Storage, and Azure Dev Ops
• Experience designing and supporting batch and streaming data processing solutions
• Knowledge of database and data warehouse design best practices
• Proficiency in evaluating technical alternatives, conducting trade‑off analysis, and recommending suitable solutions
• Experience collaborating with stakeholders and supporting engineering teams in delivering data solutions
• Upper‑intermediate or higher level of English

Soft Serve is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.