Lead Azure Data Engineer / AI-driven / Hybrid

• 6+ years of experience in data engineering or analytics engineering
• Strong experience building scalable ETL/ELT pipelines
• Advanced SQL and data modeling experience
• Hands-on experience with Snowflake and/or Databricks
• Experience creating analytics-ready datasets for BI tools
• Ability to communicate data concepts to technical and non-technical partners

Desired Skills & Experience

• Tableau dashboard development and optimization
• Experience partnering with analytics, product, or business teams
• Exposure to ML or AI-driven data workflows
• Experience in cloud-native environments (Azure preferred)

Tech Breakdown

• 40% Data Engineering & Pipelines
• 25% Data Modeling & Analytics Enablement
• 20% Tableau Dashboarding & Visualization
• 15% Architecture, Optimization, and Best Practices

The Offer

• Competitive salary ($150,000 - $220,000)

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Generous vacation time
• Equity participation

A fast-growing, cloud-native technology company is seeking a Lead Data Engineer to join their data platform team. This is a full-time role (US-based) working with modern technologies including Databricks, Snowflake, dbt, Azure, and Tableau. The team builds large-scale data systems that support analytics, visualization, and AI-driven applications. This opportunity stands out because it blends deep engineering with business-facing analytics. The team is looking for someone who not only architects' robust data pipelines but also understands how data is consumed through models, dashboards, and insights. You'll have ownership, influence, and the chance to shape how data is used across the organization.