Lead Big Data Engineer (MS Fabric)

About The Role
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.
Responsibilities
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, OneLake, 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
Requirements
5+ years of experience in Data Engineering
Hands-on experience with Microsoft Fabric and its core components, including Lakehouse, Data Warehouse, OneLake, and Analytics workloads
Strong proficiency in Python, PySpark, and SQL
Proven experience with Databricks
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 DevOps
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
SoftServe 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.

Work arrangement
Yes