
Fabric Architect Lead
2 weeks ago
In this role, you will have the opportunity to design and scale next-generation analytics platforms in the Microsoft ecosystem.
Key Responsibilities:
- Solution Design: Develop scalable data solutions using Dataflows, Pipelines, Spark, and Delta Lake.
- Pipeline Development: Build and optimize data pipelines for ingestion-to-insight workflows.
- Technical Solutions: Translate business needs into technical solutions and drive efficient data management practices.
- CICD/IaC Practices: Establish Continuous Integration/Continuous Deployment and Infrastructure as Code practices with Azure DevOps, ARM, or Terraform.
- Governance and Security: Ensure governance, security, and compliance through integration with Purview.
- Workload Monitoring: Monitor and troubleshoot Fabric workloads for optimal performance.
- Knowledge Sharing: Stay up-to-date on new Fabric capabilities and mentor junior team members.
Requirements:
- Data Engineering Experience: 8-12 years of experience in data engineering, architecture, or analytics.
- Hands-on Experience: 2-3 years of hands-on experience with Microsoft Fabric.
- Programming Skills: Strong skills in SQL, Python, or PySpark.
- Azure Services: Solid experience with Microsoft Azure services.
- IaC Tools and Governance: Familiarity with IaC tools (ARM/Terraform) and data governance practices.
- Nice to Have: Power BI, Azure Databricks, or ML/AI exposure.
Essential Skills:
- Unified Analytics Design: Strong understanding of Lakehouse and unified analytics design principles.
- Pipeline Building: Ability to build both batch and real-time pipelines for efficient data processing.
- Communication and Collaboration: Effective communication and collaboration skills for successful project delivery.
- Adaptability: Adaptive and proactive approach to fast-evolving tech landscapes.
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