2020 Companies
MicrosoftFabricSr.DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Microsoft Fabric Sr. Data Engineer at 2020 Companies. Skills: Data Engineering, Microsoft Fabric, Data Modeling. Define and evolve architecture. Design ingestion frameworks”
What You'll Achieve.
Drive revenue; Drive executive decision-making; Deliver fast insights; Deliver reliable insights; Improve client satisfaction; Improve client retention; Improve client growth; Ensure SLA reliability; Ensure SLA performance; Ensure SLA scalability; Reduce time-to-market; Improve analytics delivery margins
Industry & Context.
Critical thinking; Break down ambiguous problems; Evaluate tradeoffs; Make sound decisions; Data-informed decisions
What They're Looking For.
Must Have
5-8 years of data engineering experience, SQL experience, Data modeling experience, Hands-on Delta Lake experience, Microsoft Fabric experience, Dimensional modeling experience, Power BI semantic model optimization expertise, Track record of building scalable ingestion frameworks, Track record in client-facing analytics environments, Track record in revenue-driven analytics environments, Critical thinking to break down ambiguous problems, Evaluate tradeoffs, Make sound data-informed decisions, Balance performance, scalability, and business impact, Leadership skills, Exceptional communication skills, Translate complex technical decisions for non-technical audiences, Experience working in agile environments, Experience using features and user stories, Growth mindset, Agile mindset, Agile development experience, GitHub-based development workflows experience, CI/CD experience
Nice to Have
dbt experience
What You'll Do.
Define and evolve architecture
Design ingestion frameworks
Make architectural decisions
Develop Microsoft Fabric pipelines
Maintain Microsoft Fabric pipelines
Ensure data is accurate
Ensure data is timely
Ensure data is reliable
Ensure data is trusted
Catch problems before clients do
Optimize refresh strategies
Reduce compute spikes
Design advanced dimensional models
Defend modeling decisions
Ensure consistency across platform
Ensure reuse across platform
Act as role model for SDLC
Establish engineering standards
Enforce engineering standards
Improve development workflows
Improve team efficiency
Deliver work iteratively
Ship frequently in small batch sizes
Translate technical concepts
Align engineering teams
Elevate team performance
Do light documentation
Ensure SLA reliability
Ensure SLA performance
Ensure SLA scalability
Proactively identify risks
How You'll Work.
Team & Collaboration
Client-facing analytics; Engineering teams; BI teams; Business teams; Agile environments; Agile development
Communication Scope
Translate complex technical concepts; Written communication; Verbal communication
Process & Methodology
Agile, SDLC, CI/CD
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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