Software Development Engineer 2- Data Engineering

Overview In this role you design and own data pipelines and models for a Customer Data Platform that powers marketing segmentation and customer journeys. You work across engineering, data, and product to deliver scalable, quality data solutions with end-to-end accountability. You’ll influence architecture, governance, and data workflows while collaborating with cross-functional teams to reconcile business logic and drive a single source of truth. This is a hands-on, impact-focused position at scale, leveraging Snowflake and dbt to enable data-driven decisions. Compensation / Benefitshealth, dental and vision insurancesretirement savings planpaid time offhealth savings accountflexible spending accountslife and disability insurance ResponsibilitiesDesign and build scalable Snowflake data models from staging to production data marts for CDPIntegrate data from multiple source systems (e.g., Siebel CRM, EDW snapshots, portfolio health hubs) into the CDPEvolve the CDP Mart with field enhancements for downstream segmentation and journeysOwn feature-level architecture decisions and document ADRs for sign-offManage dbt lakefront project structure, model ownership, and team configurations to enable self-serviceContribute to Golden Paths, service communication standards, and data orchestration workflowsLead data quality efforts with automated regression tests and verification checksExperiment with AI-augmented workflows to improve pipeline efficiency and code readability Key requirements3-5 years of professional experience in data engineering, data warehousing, or data-focused software developmentProven Snowflake proficiency with scalable data models and staging environmentsStrong dbt experience including project management, testing, and source-control-driven pipelinesPreferred familiarity with Salesforce Data360 / DataCloud ingestion, mapping, and orchestrationCI/CD automation experience, branch management, and automated quality gatesStrong problem-solving skills to translate business constraints into concrete data logicCollaborative mindset and cross-functional teamworkMentoring and knowledge sharing with junior engineersStakeholder alignment and facilitation of technical workshopsSnowflake data modelingdbt (Data Build Tool)Salesforce Data360 / DataCloud (CDP) ingestion and orchestration