
Data Engineering Leader Position
2 weeks ago
Analytics Platform Architect Opportunity
We are seeking a highly skilled professional to design and scale next-generation analytics platforms in the Microsoft ecosystem. This is a remote role where you will define architecture, guide implementation, and enable data teams to deliver insights faster and with enterprise-grade governance.
Key Responsibilities:
- Design and implement scalable Lakehouse, Data Warehouse, and analytics solutions in Microsoft Fabric.
- Build and optimize data pipelines, transformations, and storage using Dataflows, Pipelines, Spark, and Delta Lake.
- Translate business needs into technical solutions and drive ingestion-to-insight workflows.
- Establish Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) practices with Azure DevOps, ARM, or Terraform.
- Ensure governance, security, and compliance through Purview integration.
- Monitor, troubleshoot, and optimize Fabric workloads.
- Stay ahead of new Fabric capabilities and mentor junior team members.
Requirements & Qualifications:
- 8-12 years of experience in data engineering, architecture, or analytics.
- 2-3 years hands-on experience with Microsoft Fabric.
- Strong skills in SQL, Python, or PySpark.
- Solid experience with Microsoft Azure services.
- Familiarity with IaC tools (ARM/Terraform) and data governance practices.
- Nice to have: Power BI, Azure Databricks, or Machine Learning/AI exposure.
Essential Skills & Attributes:
- Strong understanding of Lakehouse and unified analytics design.
- Ability to build both batch and real-time pipelines.
- Effective communicator and collaborator.
- Adaptive and proactive in fast-evolving tech landscapes.
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