Microsoft Fabric Sr. Data Engineer

2020 Companies•Southlake, TX

4d•Onsite

About The Position

We’re hiring a Sr.Data Engineer to build and scale a client-facing analytics platform that directly drives revenue and executive decision-making. You’ll develop Microsoft Fabric pipelines, design lake house models, and optimize Power BI performance to deliver fast, reliable insights. 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. We're scaling fast, and we need an engineer who thinks in systems, communicates clearly, and treats client SLAs as non-negotiable. 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 senior engineer who steps into this role has a clear path toward owning the Analytics & BI architectural standards and platform strategy. 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 This is a role where engineering decisions influence real revenue outcomes. 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. 2020’s Commitment We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

Requirements

5-8 years of data engineering experience
Strong SQL, data modeling, and hands-on Delta Lake experience
Microsoft Fabric experience – you’ve built it, not just read about it
Dimensional modeling you can defend in a design review
Power BI semantic model optimization expertise
A track record of building scalable ingestion frameworks
A track record in client-facing or revenue-driven analytics environments
Uses critical thinking to break down ambiguous problems, evaluates tradeoffs, and makes sound, data-informed decisions that balance performance, scalability, and business impact
Strong leadership skills, exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiences
Experience working in agile environments using features and user stories
A growth mindset — you're energized by hard problems, not slowed down by them, strong team player
Agile mindset and development experience
GitHub-based development workflows and CI/CD experience

Nice To Haves

dbt experience

Responsibilities

Design Scalable Data Systems
Define and evolve architecture across the entire data estate, such as pipelines, Lakehouse, and semantic layers
Design ingestion frameworks for monitoring, observability, scalability, and reuse
Make architectural decisions under constraints (cost, SLA, scale) while avoiding technical debt
Roll up your sleeves to develop and maintain high-quality, reliable Microsoft Fabric pipelines and notebooks that directly support analytics and reporting.
Ensure that data is accurate, timely, reliable, and trusted by stakeholders, catching problems before clients do
Optimize refresh strategies and reduce compute spikes
Lead Data Modeling Standards
Design advanced dimensional models for multi-client scalability
Defend modeling decisions in design reviews
Ensure consistency and reuse across the platform
Drive Engineering Excellence
Act as a role model for SDLC practices (Git, CI/CD, testing)
Establish and enforce engineering standards
Improve development workflows and team efficiency
Deliver work iteratively with high quality and predictability
Ship frequently in small batch sizes
Lead Through Communication and Influence
Translate complex technical concepts for non-technical stakeholders
Align engineering, BI, and business teams
Mentor team members and elevate team performance
Do light documentation to build institutional memory
Own Platform Outcomes
Ensure SLA reliability, performance, and scalability
Proactively identify and mitigate risks