
Chief Analytics Engineer
2 weeks ago
We are seeking an experienced Architect to design and scale next-generation analytics platforms in the Microsoft ecosystem.
Overview
This role will focus on defining architecture, guiding implementation, and enabling data teams to deliver insights faster with enterprise-grade governance.
Key Responsibilities
- Design and implement scalable solutions using Lakehouse, Data Warehouse, and analytics technologies.
- 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 CI/CD and IaC practices with Azure DevOps, ARM, or Terraform.
- Ensure governance, security, and compliance through integration.
- Monitor, troubleshoot, and optimize workloads.
- Stay ahead of new 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 ML/AI exposure.
Desired Skills & Attributes
- Strong understanding of unified analytics design.
- Ability to build both batch and real-time pipelines.
- Effective communication and collaboration.
- Adaptive and proactive approach in fast-evolving tech landscapes.
Why this role is exciting:
This role offers a unique opportunity to shape the future of analytics platforms and work with cutting-edge technologies.
About the team:
This is a dynamic team that values innovation, collaboration, and continuous learning.
What we offer:
A competitive salary, comprehensive benefits, and opportunities for growth and development.
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