About Empyrean's Data PlatformWe're building a centralized Lake House Data Platform to power Empyrean's integrated risk and performance management solutions for banks and credit unions. This platform will unify data across our ALM, Liquidity Stress Testing, Deposit Analytics, Profitability, and Budgeting Planning products, ensuring all teams from treasury to finance work from the same reliable source of truth. Our philosophy combines centralized governance with decentralized data product creation, enabling feature-slice delivery and self-service capabilities while maintaining the regulatory compliance and accuracy financial institutions demand.Role OverviewAs Data Architect, you'll lead the design and build-out of Empyrean's data platform that powers risk management, performance management, and regulatory compliance solutions for financial institutions. You'll architect the end-to-end data lifecycle supporting critical banking functions from ALM and liquidity stress testing to profitability analysis and CECL calculations. Your platform will scale from millions of rows monthly today to 100M+ rows daily for tier-1 banks and large credit unions over 2-3 years, all while maintaining the accuracy and reliability required for regulatory reporting and balance sheet management.Scale Trajectory:Current: 2-5M rows/customer monthlyYear 1: 10-20M rows/customer monthlyYear 2: M rows/customer monthlyYears 2-3: M rows/customer DAILYMaintain sub-second query response across all scalesYou'll lead the data platform team (3 Data Engineers, 1 BI Developer, 2 Business Analysts).What You'll DoPlatform Architecture: Design scalable Lake House Platform supporting ALM, liquidity, profitability, and planning products with medallion architecture, versioned APIs, and comprehensive cataloging for regulatory compliancePlatform Philosophy: Drive centralized governance with decentralized product creation through a common data model exposed via versioned APIs, ensuring consistency, interoperability, and self-service adoption across teamsTechnical Leadership: Lead Databricks/Snowflake implementations, partner with risk and performance product teams on data modeling, establish governance frameworks meeting banking regulatory requirementsScale Performance: Architect for 100x+ growth over 2-3 years supporting everything from community banks to tier-1 institutions while ensuring costs scale sub-linearlyInnovation Enablement: Build self-service capabilities for risk analysts, finance teams, and treasury users, reducing time-to-market from months to days through abstraction layersRequired QualificationsExperience8+ years in data architecture/platform engineering (CS/Math/Sciences degree or equivalent)Critical: Personally architected and scaled Databricks/Snowflake processing 100M+ rows daily in productionImplemented feature-slice driven delivery with proven time-to-market improvementsBattle-tested through incidents, migrations, and 10x+ growth phasesWe're NOT looking for:Whiteboard-only architects without hands-on implementationAnyone without concrete optimization examples or 10x+ scaling experienceTechnical ExpertiseAzure cloud architecture expertise(AWS/GCP transferable)Infrastructure-as-code proficiency(Terraform, Bicep, CloudFormation)Production Databricks and Snowflake implementationsData virtualization, API versioning, distributed systemsSingle-tenant and multi-tenant architectures at scaleMedallion architecture with quality gatesProven cost optimization with specific examplesSchema evolution maintaining backward compatibilityEvent-driven architectures with Azure Service BusModern orchestration and CI/CD practicesPlatform MindsetHorizontal scaling and rapid feature additionSelf-service capabilities for multiple personasIncremental value delivery over big-bang releasesPlatform economics and cost optimization at scalePreferred QualificationsMicrosoft Fabric experienceBanking domain expertise: ALM, liquidity management, funds transfer pricing, CECL, deposit analyticsRegulatory compliance (Basel III, DFAST, CECL, liquidity coverage ratios)Financial institution data: core banking systems, loan/deposit portfolios, investment securitiesPyramid Analytics or similar BI platformsDelta Lake/Iceberg, Unity CatalogDataOps, MLOps, GitOps practicesOpen-source contributionsSuccess Metrics (Year 1)Scale: Handle 4x growth with architecture proven for 10x+ additional scaleProduct Integration: ALM, Liquidity, Profitability, and Planning products fully migrated to unified platformBI Migration: Pyramid Analytics migrated from Direct Query to Platform consumptionSpeed: New bank/credit union onboarding reduced to days; features ship weeklyAdoption:100% new integrations follow platform patternsSelf-Service:90%+ risk analysts and finance users discover data without assistanceCost: Infrastructure scales sub-linearly with demonstrated optimization winsWhat We OfferOpportunity to architect a next-generation Data Platform with modern best practices, unbounded by legacy constraintsStrategic role defining Empyrean's data architecture and directly influencing product roadmap and company directionCompetitive compensation package commensurate with the strategic impact of this role High autonomy to build and lead your vision with full remote flexibilityDirect collaboration with C-suite and product leadership