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Data Engineering Lead
2 weeks ago
Analytics Platform Designer
As a Fabric Architect, you will design and scale next-generation analytics platforms in the Microsoft ecosystem.
Key Responsibilities:
- Design Scalable Solutions: Design and implement scalable Lakehouse, Data Warehouse, and analytics solutions in Microsoft Fabric.
- Build Optimized Pipelines: Build and optimize data pipelines, transformations, and storage using Dataflows, Pipelines, Spark, and Delta Lake.
- Translate Business Needs: Translate business needs into technical solutions and drive ingestion-to-insight workflows.
- Establish CI/CD Practices: Establish CI/CD practices with Azure DevOps, ARM, or Terraform.
- Ensure Governance Security: Ensure governance, security, and compliance through Purview integration.
- Monitor Troubleshoot: Monitor, troubleshoot, and optimize Fabric workloads.
- Stay Ahead New Capabilities: Stay ahead of new Fabric capabilities and mentor junior team members.
Requirements and Qualifications:
- Experience: 8-12 years in data engineering, architecture, or analytics.
- Hands-on Experience: 2-3 years hands-on with Microsoft Fabric.
- Skills: Strong in SQL, Python, or PySpark.
- Azure Services: Solid experience with Microsoft Azure services.
- IaC Tools Data Governance: Familiarity with IaC tools (ARM/Terraform) and data governance practices.
Skills Attributes:
- Lakehouse Design: Strong understanding of Lakehouse and unified analytics design.
- Pipeline Building: Ability to build both batch and real-time pipelines.
- Effective Communication: Effective communicator and collaborator.
- Adaptability: Adaptive and proactive in fast-evolving tech landscapes.
Ideal Candidate:
We are looking for a highly skilled and experienced Fabric Architect who can lead our team in designing and implementing next-generation analytics platforms in the Microsoft ecosystem. If you have a strong background in data engineering, architecture, or analytics and are familiar with Microsoft Fabric, we encourage you to apply.