Overview A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem. This role will focus on designing and maintaining scalable ELT pipelines, data models, semantic layers, and executive-level dashboards using modern cloud data technologies. The ideal candidate brings deep expertise in dbt, Snowflake, Power BI, and modern ingestion platforms, with a strong foundation in data modeling, analytics engineering, and business intelligence best practices. Key Responsibilities Semantic Layer & Data Modeling Develop and maintain semantic layers supporting operational and executive reporting Create dimensional and subject-area data models aligned to business functions including CRM, sales, marketing, finance, operations, compliance, and customer support Standardize KPIs, metrics, calculations, and business definitions across reporting environments Collaborate with stakeholders to translate business requirements into scalable analytics solutions Data Transformation & ELT Orchestration Design, build, and optimize dbt Cloud transformation models including staging, core, and mart layers Implement automated testing frameworks for schema validation, data quality, and business logic Manage dbt Cloud job scheduling, orchestration, and deployment workflows Ensure reliable ingestion-to-transformation-to-delivery pipelines Snowflake Administration & Optimization Configure and manage Snowflake warehouses, roles, permissions, and resource monitors Optimize warehouse performance, scalability, and cost management Configure and maintain connectors and integrations with operational systems Troubleshoot data pipeline and query performance issues Data Ingestion & Integration Configure and maintain Fivetran connectors and ingestion pipelines Support API-based ingestion processes where needed Monitor connector health, schema drift, and incremental loading processes Maintain integrations across multiple enterprise systems and data sources Analytics & Dashboard Development Design and develop interactive dashboards and reporting solutions using Power BI Build advanced DAX calculations, semantic models, dataflows, and row-level security configurations Deliver analytics solutions supporting Sales, Marketing, Finance, and Operations teams Provide end-user training and documentation to support adoption and governance Data Quality & Governance Implement automated monitoring, alerts, and data quality controls Maintain lineage and documentation across analytics and transformation platforms Perform data reconciliation and troubleshooting across multiple source systems Support governance, consistency, and reporting accuracy initiatives Required Qualifications 7+ years of experience in BI Engineering, Analytics Engineering, Dashboard Development, or ELT-focused roles Deep hands-on expertise with dbt including modeling, testing, documentation, and orchestration Strong experience with Snowflake administration, optimization, and performance tuning Advanced Power BI experience including: Semantic modeling DAX development Dataflows Row-Level Security (RLS) Governance best practices Experience with Fivetran connectors and API-based data ingestion Strong SQL development and dimensional data modeling skills Experience integrating and reconciling data from platforms such as Salesforce, HubSpot, NetSuite, QuickBooks, and call-center systems Strong analytical, troubleshooting, and communication skills Preferred Qualifications Experience with Python, C#, or other programming languages Exposure to Azure data services, Functions, or API Gateway technologies Background supporting financial services, regulated industries, or compliance-focused environments Experience with Power BI administration and enterprise governance Preferred Technical Environment dbt Cloud Snowflake Power BI Fivetran SQL Salesforce HubSpot NetSuite / QuickBooks API integrations Cloud-based analytics platforms Additional Information Senior-level opportunity with high visibility and impact Opportunity to help build and modernize enterprise analytics infrastructure Collaborative, data-driven environment Competitive compensation and benefits package available based on experience