Blend360
Marketing And Advertising
AnalyticsEngineeringLead
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineering Lead at Blend360. Skills: dbt, SQL, Dimensional Modeling, Data Quality. Design curated models. Implement dbt project architecture”
What You'll Achieve.
makes them trustworthy, accessible, and activation-ready; produce high-value, activation-ready outputs; data layer auditable and trustworthy; model outputs align with CDP activation needs
Industry & Context.
translating complex, multi-domain data challenges into scalable, well-modeled solutions
What They're Looking For.
Must Have
8+ years of experience in data engineering, analytics engineering, 3+ years in a lead or senior role, Expert-level dbt proficiency, Expert-level SQL, dimensional modeling skills, Hands-on experience building data quality frameworks, AWS data stack experience, Athena, Redshift, Demonstrated ability to work directly with business stakeholders
Nice to Have
Experience with orchestration tools, Airflow, Prefect, Dagster, Familiarity with CDP platforms, Background in data observability tooling, Monte Carlo, Elementary, Experience working in a consulting or client-services environment, Exposure to BI layers, Looker, Tableau
What You'll Do.
Design curated models
Implement dbt project architecture
Build enrichment layer
Define data quality framework
Establish testing standards
Interface with business stakeholders
Translate business requirements
Set analytics engineering best practices
Partner with data engineers
How You'll Work.
Team & Collaboration
Bridge between engineering and business stakeholders; Partner with data engineers; CDP architects; analysts
Communication Scope
Translate business requirements into data model specifications; Translate model constraints back into business-friendly language
Full Job Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/). Design and own the curated data model layer that transforms raw ingested data into business-ready entities consumed by a Customer Data Platform (CDP) and business users. This role sits at the core of a large-scale data initiative you'll be the person who takes 18 distinct data domains and makes them trustworthy, accessible, and activation-ready. THE ROLE We're looking for an Analytics Engineering Lead to architect and deliver the curated layer of a modern data platform. You'll work at the intersection of data architecture, engineering rigor, and business strategy translating complex, multi-domain data challenges into scalable, well-modeled solutions that teams actually trust and use. This is a hands-on technical leadership role. You'll report directly to the Internal Technical Architect and serve as the subject matter expert on dbt, dimensional modeling, and data quality. You'll also be a critical bridge between engineering and business stakeholders ensuring model outputs match real activation needs. Curated Data Modeling * Design curated models across all 18 data domains — including Identity, Engagement, Demographics, Propensity, Geographic, Behavioral, Products, and Segmentation — transforming raw ingested data into clean, business-ready entities * Implement a structured dbt project architecture
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