Blend360
Consulting
AnalyticsEngineeringLead
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineering Lead at Blend360. Skills: Dbt, Data modeling, Analytics engineering, Data quality. Design curated models across all 18 data domains. Transform raw ingested data into clean, business-ready entities”
What You'll Achieve.
Produce high-value, activation-ready outputs; Make data trustworthy, accessible, and activation-ready
Industry & Context.
Complex data challenges
What They're Looking For.
Must Have
8+ years of experience in data engineering, analytics engineering, or closely related discipline, 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, Demonstrated ability to work directly with business stakeholders
Nice to Have
Experience with orchestration tools, Familiarity with CDP platforms, Background in data observability tooling, Experience working in a consulting or client-services environment, Exposure to BI layers
What You'll Do.
Design curated models across all 18 data domains
Transform raw ingested data into clean
business-ready entities
Implement a structured dbt project architecture
Build an enrichment layer
Define and enforce a comprehensive data quality framework
Establish testing standards and documentation practices
Interface directly with business stakeholders
Translate business requirements into data model specifications
Translate model constraints back into business-friendly language
Set analytics engineering best practices
Partner with data engineers
How You'll Work.
Team & Collaboration
Data engineers; CDP architects; Analysts; Business stakeholders; Engineering; Business
Communication Scope
Business-friendly language
Process & Methodology
Project structuring
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
Applying for this Analytics Engineering Lead role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Blend360?
Real rants from real employees. Read before you apply.