ISA
Website:
isa.org
Company:
https://www.linkedin.com/company/information-systems-associates-fze
Industries: IT Services and IT Consulting
Job details:
Job Purpose
Responsible for designing, building, and optimizing scalable data infrastructure and pipelines on
Microsoft Fabric and
Snowflake that support the organization's data engineering, analytics, and AI capabilities. Serves as a senior technical contributor, driving engineering excellence, ensuring reliable and high-performing data solutions, and providing guidance to junior engineers.
Key Result Responsibilities
- Design and deliver complex, scalable data pipelines and infrastructure components end-to-end, from requirements through to production, on Fabric and Snowflake
- Own the technical design and implementation of data models across relational and lakehouse architectures — leveraging Fabric OneLake/Lakehouse and Snowflake — to support analytics and ML workloads
- Architect and optimize data flows across Microsoft Fabric and Snowflake, ensuring performance, cost-efficiency, and reliability
- Build and maintain robust orchestration workflows using tools such as Fabric Data Factory pipelines and Snowflake Tasks/Streams
- Define and implement data quality frameworks — validation rules, automated testing, monitoring, and alerting — across assigned pipeline domains in Fabric and Snowflake
- Collaborate closely with Data Scientists and Analytics Engineers to ensure data infrastructure meets downstream consumption requirements
- Contribute to architectural reviews and platform decisions, providing well-reasoned technical input and trade-off analysis
- Lead code reviews and enforce engineering best practices, documentation standards, and security and governance requirements
- Mentor Associate and mid-level Data Engineers, providing technical guidance and supporting their professional development
- Proactively identify platform improvements, technical debt, and opportunities to modernize the data stack
Qualifications (Academic, Training, Languages)
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
- Proven experience working with large-scale cloud data platforms in a professional setting, specifically Microsoft Fabric and Snowflake
- ITIL Certification is an advantage but not mandatory
- Fluent in English language.
- Expert-level SQL and strong Python skills, with hands-on experience in Snowpark; working knowledge of Spark, Scala, or Java is a plus
- Deep hands-on experience with Microsoft Fabric components (e.g., Data Factory (Fabric), Lakehouse, Warehouse, OneLake) and Snowflake (e.g., Snowpark, Streams, Tasks, external tables)
- Advanced knowledge of data orchestration tools (e.g., Fabric Data Factory pipelines) and CI/CD practices for data pipelines in Snowflake and Fabric
- Solid understanding of dimensional and data vault modelling techniques and lakehouse architecture patterns, particularly within the Fabric OneLake and Snowflake ecosystems
- Experience with streaming and batch processing frameworks (e.g., Azure Event Hubs, Snowflake Snowpipe/Streaming)
- Strong grasp of data governance, data quality frameworks, and metadata management practices (e.g., Microsoft Purview, Snowflake governance features)
- Ability to communicate complex technical designs clearly and mentor less experienced engineers effectively
- Strong experience with Snowflake and Microsoft Fabric Warehouse for data warehousing, including performance tuning and access control
Work Experience
- With 6-8 years of progressive hands-on experience in data engineering, with a demonstrable track record of delivering production-grade data infrastructure on Microsoft Fabric and/or Snowflake
Click on Apply to know more.
