Microsoft Fabric Sr. Data Engineer

2020 Companies
Atlanta, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Atlanta, United States of America

Tech stack

Data analysis
Business Intelligence
Continuous Integration
Information Engineering
Data Structures
Dimensional Modeling
Github
Power BI
Technical Debt
Microsoft Fabric
Data Lake

Job description

Build Scalable Client Data Pipelines for scale from day one

  • Develop and maintain Microsoft Fabric pipelines and notebooks
  • Implement incremental loads, watermarking, and merge logic (Delta Lake)
  • Design ingestion patterns that support rapid onboarding of new clients
  • Engineer monitoring and observability to prevent SLA breaches while catching problems before clients do

Design Lakehouse Models for Growth

  • Implement Medallion architecture (Bronze/Silver/Gold)
  • Build dimensional models for revenue-focused analytics
  • Design reusable, scalable data structures across multiple clients
  • Design data structures that don't become someone else's technical debt
  • Optimize partitioning and storage for predictable performance

Optimize Power BI Performance that Clients Actually Notice

  • Improve Direct Lake and semantic model performance in Power BI
  • Reduce refresh times and memory usage
  • Partner with BI developers to maintain high modeling standards

Improve Platform Efficiency That Protects Margin

  • Monitor Fabric capacity usage and workload patterns
  • Optimize refresh strategies and reduce compute spikes
  • Contribute to GitHub workflow and future dbt integration roadmap

Your efforts will have a direct influence on:

  • Time-to-market for new client dashboards
  • Client satisfaction and retention
  • SLA performance and reporting reliability
  • Analytics delivery margins through efficient capacity use

Requirements

This role is highly visible and impact-driven, with direct influence on client satisfaction, retention, and growth. Ideal candidates bring strong SQL, Delta Lake, and Fabric experience, along with the ability to communicate complex ideas clearly., Required

  • 4-7 years of data engineering experience
  • Strong SQL and hands-on Delta Lake experience
  • Microsoft Fabric experience that you've built, not just read about
  • Dimensional modeling you can defend in a design review
  • Power BI semantic model optimization experience
  • Experience building scalable ingestion frameworks
  • A track record in client-facing or revenue-driven analytics environments
  • Critical thinking skills
  • Exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiences
  • A growth mindset, you're energized by hard problems, not slowed down by them, strong team player

Preferred

  • dbt experience
  • GitHub-based development workflows and CI/CD experience
  • Agile mindset and development experience

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Employee assistance program
  • Paid holidays, * Competitive salary, paid weekly
  • Next day pay on demand with DailyPay
  • Health/Dental/Vision benefits
  • 401K Program with matching
  • Paid Time Off
  • Paid Holidays
  • Scholarship opportunities for employees and direct family members
  • Employee Assistance Program
  • Leadership Development Program

About the company

This isn't a maintenance role or a "keep the lights on" position. You'll be shaping architecture in a platform that's still being built, which means your opinions matter, your patterns get adopted, and your fingerprints end up on something that scales. As the client base grows, so does the scope. The engineer who steps into this role has a clear path toward owning architectural standards and platform strategy. You design for scale before scale is a problem. You write documentation people actually read. You understand that a slow dashboard isn't just a technical issue; it's a client relationship issue. And you're the kind of engineer who flags risks before they become incidents. Growth Opportunity As our client base grows, this role will assume greater responsibility for shaping architectural standards and platform scalability decisions. You'll report directly to the Director of Analytics & BI. We are a small, senior team, which means less bureaucracy, more ownership, and your work is visible immediately. If you're excited about building a scalable data platform that directly drives client success and revenue growth, we'd love to talk. What You Can Expect From 2020 Companies We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that's paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you.

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