Microsoft Fabric Sr. Data Engineer

Sr. Data EngineerWe'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 OfferCompetitive salary, paid weeklyNext day pay on demand with DailyPayHealth/Dental/Vision benefits401K Program with matchingPaid Time OffPaid HolidaysScholarship opportunities for employees and direct family membersEmployee Assistance ProgramLeadership Development ProgramJob Description:Design Scalable Data SystemsDefine and evolve architecture across the entire data estate, such as pipelines, Lakehouse, and semantic layersDesign ingestion frameworks for monitoring, observability, scalability, and reuseMake architectural decisions under constraints (cost, SLA, scale) while avoiding technical debtDevelop 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 doOptimize refresh strategies and reduce compute spikesLead Data Modeling StandardsDesign advanced dimensional models for multi-client scalabilityDefend modeling decisions in design reviewsEnsure consistency and reuse across the platformDrive Engineering ExcellenceAct as a role model for SDLC practices (Git, CI/CD, testing)Establish and enforce engineering standardsImprove development workflows and team efficiencyDeliver work iteratively with high quality and predictabilityShip frequently in small batch sizesLead Through Communication and InfluenceTranslate complex technical concepts for non-technical stakeholdersAlign engineering, BI, and business teamsMentor team members and elevate team performanceDo light documentation to build institutional memoryOwn Platform OutcomesEnsure SLA reliability, performance, and scalabilityProactively identify and mitigate risksStandout FactorsThis 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 dashboardsClient satisfaction and retentionSLA performance and reporting reliabilityAnalytics delivery margins through efficient capacity useThis is a role where engineering decisions influence real revenue outcomes.QualificationsRequired5-8 years of data engineering experienceStrong SQL, data modeling, and hands-on Delta Lake experienceMicrosoft Fabric experience – you've built it, not just read about itDimensional modeling you can defend in a design reviewPower BI semantic model optimization expertiseA track record of building scalable ingestion frameworksA track record in client-facing or revenue-driven analytics environmentsUses critical thinking to break down ambiguous problems, evaluates tradeoffs, and makes sound, data-informed decisions that balance performance, scalability, and business impactStrong leadership skills, exceptional communication skills, written and verbal, that translate complex technical decisions for non-technical audiencesExperience working in agile environments using features and user storiesA growth mindset — you're energized by hard problems, not slowed down by them, strong team playerAgile mindset and development experienceGitHub-based development workflows and CI/CD experiencePreferreddbt experienceRole ImpactYou can perform the tasks typically handled by data engineers when needed. You lead by example and inspire the entire team. You proactively identify and resolve problems before they affect clients.You think in terms of systems, not just individual tasks. You design for scalability before scale becomes an issue.You write documentation that people actually read. You recognize that a slow dashboard is not just a technical problem; it's a client relationship issue.You are the engineer who flags risks early, before they turn into incidents. You are dependable, detail-oriented, and collaborative. You take ownership of your work and consistently deliver high-quality results.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.