C# for backend services and integration components
VueJS for reporting and analytics UI experiences.
Build and maintain high-performance data ingestion, transformation, and query pipelines for real-time and near-real-time reporting.
Build and operate deployment pipelines using GitHub Actions.
Develop meaningful and intuitive reporting features that leverage strong data modeling fundamentals —including proper grains, dimensions, aggregates, and semantic layers.
Ensure our data and reporting platforms meet high standards for reliability, performance, and scalability.
Participate hands-on in coding, code reviews, debugging, and complex problem resolution.
Partner closely with Product, Data Engineering, and Platform Engineering to define the roadmap and deliver high-impact features.
Translate business reporting needs into technical architecture and execution plans.
Work with product managers to shape the analytics roadmap and define success metrics.
Collaborate with Customer Success and Support teams to address customer data requirements, performance issues, and enhancements.
Promote analytics best-practices across the organization.
Position the system for A.I. driven analytics.
Requirements
7+ years of experience in data engineering, analytics engineering, software engineering, or reporting platform development.
2+ years in a technical leadership or engineering management role (player/coach or team lead strongly preferred).
Hands-on expertise with: Azure Data Explorer (ADX) and Kusto Query Language (KQL)
SQL Server (T-SQL) for modeling, performance tuning, and complex queries