Staff Analytics Engineer

About the OpportunityThrively has partnered with a fast-growing technology company to identify a Staff Analytics Engineer (will consider a Sr Engineer as well) who will play a foundational role in building and scaling the organization's modern analytics platform.This is a highly visible individual contributor opportunity for someone who enjoys solving complex data challenges, building trusted data products, and partnering closely with engineering, product, and business teams to deliver high-quality analytics at scale.We're looking for someone who thinks beyond writing SQL. This role is about designing reusable data models, establishing engineering best practices, and creating the trusted data foundation that powers decision making across the business.What You'll OwnYou'll help design, build, and evolve the company's modern analytics platform, including:Scalable dbt models and transformation layersEnterprise semantic models and source-of-truth datasetsBusiness-critical metrics and KPI definitionsAnalytics engineering standards and best practicesData quality, testing, and observabilityDocumentation and governance across the analytics ecosystemPerformance optimization for analytics workloadsCollaboration between Engineering, Product, GTM, Finance, and LeadershipThis role sits at the intersection of software engineering and business analytics, helping transform raw data into reliable, trusted products that teams depend on every day.What You'll Be Responsible ForYou'll serve as a senior technical contributor within the Analytics Engineering organization, partnering across multiple business functions to solve complex analytical challenges.Success in this role requires balancing strong technical execution with business understanding. You'll help establish data modeling standards, review technical designs, mentor teammates, and influence the long-term direction of the analytics platform. We're looking for someone who enjoys solving foundational problems that improve how an entire organization works with data.What Makes Someone Successful HereThe ideal candidate has likely spent much of their career building modern analytics platforms rather than focusing exclusively on dashboards or reporting.You'll likely bring experience with:Analytics EngineeringdbtSnowflakeAdvanced SQLData ModelingDimensional ModelingSemantic Layer DesignData Testing and QualityModern ELT PipelinesAnalytics GovernancePerformance OptimizationYou understand that trustworthy, well-documented data products create significantly more business value than simply delivering reports quickly.Technical EnvironmentCurrent technologies include many of the following:SnowflakedbtSQLPythonGitAirflow or similar orchestration platformsLooker, Tableau, or Power BICI/CD workflowsModern cloud-based analytics architectureWhat We're Looking ForWe're interested in candidates who bring:7+ years of experience in Analytics Engineering, Data Engineering, or Business IntelligenceDeep expertise with dbt, Snowflake, and advanced SQLStrong understanding of dimensional modeling and modern data architectureExperience designing scalable, reusable data modelsExperience building trusted metrics and semantic layersStrong communication and stakeholder management skillsPassion for mentoring teammates and elevating engineering standardsWhy This Opportunity?This is an opportunity to help shape the future of analytics at an innovative technology company investing heavily in its modern data platform. You'll work alongside talented engineers, influence technical direction, establish best practices, and build the trusted data foundation that supports product, finance, GTM, and executive decision making across the business. If you're energized by building scalable analytics platforms and solving meaningful data challenges, we'd love to connect.