2020 Companies
MicrosoftFabricSr.DataEngineer
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“Microsoft Fabric Sr. Data Engineer at 2020 Companies. Skills: Microsoft Fabric, Delta Lake, SQL, Dimensional Modeling, Power BI Optimization. build and scale a client-facing analytics platform. develop Microsoft Fabric pipelines”
What You'll Achieve.
directly drives revenue and executive decision-making; deliver fast, reliable insights; direct influence on client satisfaction, retention, and growth; Ensure SLA reliability, performance, and scalability; Time-to-market for new client dashboards; Client satisfaction and retention; SLA performance and reporting reliability; Analytics delivery margins through efficient capacity use; engineering decisions influence real revenue outcomes; catch problems before clients do; elevate team performance; consistently deliver high-quality results
Industry & Context.
Uses critical thinking to break down ambiguous problems, evaluates tradeoffs, and makes sound, data-informed decisions that balance performance, scalability, and business impact; Proactively identify and resolve problems before they affect clients; think in terms of systems, not just individual tasks; design for scalability before scale becomes an issue; flag risks early, before they turn into incidents
What They're Looking For.
Must Have
5-8 years of data engineering experience, SQL, data modeling, hands-on Delta Lake experience, Microsoft Fabric experience, Dimensional modeling, 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, 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, Agile mindset and development experience, GitHub-based development workflows and CI/CD experience
Nice to Have
dbt experience
What You'll Do.
build and scale a client-facing analytics platform
develop Microsoft Fabric pipelines
design lake house models
optimize Power BI performance
Define and evolve architecture across the entire data estate
Design ingestion frameworks
Make architectural decisions under constraints
develop and maintain high-quality
reliable Microsoft Fabric pipelines and notebooks
Ensure that data is accurate
and trusted by stakeholders
Optimize refresh strategies and reduce compute spikes
Design advanced dimensional models for multi-client scalability
Defend modeling decisions in design reviews
Ensure consistency and reuse across the platform
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
Translate complex technical concepts for non-technical stakeholders
Mentor team members and elevate team performance
Do light documentation to build institutional memory
Ensure SLA reliability
Proactively identify and mitigate risks
How You'll Work.
Team & Collaboration
Align engineering, BI, and business teams; Mentor team members and elevate team performance; collaborative
Communication Scope
exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiences; Translate complex technical concepts for non-technical stakeholders
Process & Methodology
Experience working in agile environments using features and user stories, Agile mindset and development experience
Full Job Description
**Job Type:** Regular **Work Location:** Client Support Center - Southlake, TX 76092 _**Overview:**_ 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. **What We Offer** * 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 **Job Description:** 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
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