Senior Data Solutions Engineer

Job Description We are seeking a Senior Data Solutions Engineer to join our growing Data Products & Platforms team. This role is designed for an experienced analytics professional who operates comfortably across analytics and data engineering, serves as a thought partner to the business, and takes ownership of delivering trusted, scalable, analytics-ready data products. As a senior member of the team, you will play a key role in shaping the analytics data layer, defining standardized metrics and datasets, and enabling high-quality reporting and self-service analytics across the organization. You will work closely with business stakeholders, analytics partners, and data engineering teams to ensure data is reliable, well-documented, and ready to support advanced analytics and AI use cases. What You’ll Do Design, build, and own analytics-ready datasets in Snowflake using curated ELT pipelines (e.g., Coalesce.io)Develop and maintain Snowflake semantic views to standardize business logic, KPIs, and metric definitions across teamsAct as a trusted partner to business stakeholders by translating analytical needs into scalable, reusable data solutionsEnable and support self-service analytics across BI tools such as Sigma and Power BIEstablish and maintain clear documentation for datasets, metrics, and analytical modelsProactively monitor, validate, and improve data quality, performance, and reliabilityCollaborate closely with data engineering and platform teams to evolve and optimize the analytics data layerSupport AI and advanced analytics initiatives by delivering well-structured, high-quality datasets suitable for forecasting, machine learning, and generative AIContribute senior-level guidance on analytics engineering best practices, data modeling standards, and dataset design