Benefits
Competitive 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 debtRoll 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 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.Health insuranceDental insuranceVision insurance401(k)