Blend360 is a premier data, AI, and marketing consulting firm that partners with the world's most ambitious organizations to turn complex challenges into competitive advantage. We sit at the intersection of deep analytical rigor and pragmatic business execution—helping Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise.
Job DescriptionRole summary
Own architecture and delivery across multiple workstreams for Intelligent Applications. You’ll define “how we build” for forward deployed engagements—templates, standards, quality gates—and you’ll mentor and guide multiple engineers. You’ll bring observability/security to the forefront and operationalize LLM/agent delivery into repeatable, safe workflows (evals, guardrails, monitoring, human-in-the-loop where needed).
Responsibilities
- Lead multiple streams (UI/API/data) with clear sequencing, risks, and integration plans.
- Define reference architectures and standards: SOLID/MVC boundaries, error handling, testing, observability, security.
- Drive performance and data architecture decisions: SQL/query patterns, indexing strategy, data contracts.
- Create reusable accelerators: scaffolds, templates, spec/context packages, PR checklists, CI quality gates—including LLM/RAG reference modules and evaluation scaffolding.
- Partner with data teams when engagements lean on Databricks or Snowflake for analytics/ML adjacency (contracts, identity, performance patterns).
- Operationalize CI/CD and containerization standards: pipeline guardrails, environment parity, container-first dev workflows, and release verification patterns.
- Coach senior + mid-level engineers; improve team throughput and quality.
- Partner with leadership and clients to quantify impact and adoption.
Required qualifications
- 6-8+ years equivalent experience or demonstrated staff-level impact.
- Demonstrated multi-team or multi-stream technical leadership.
- Strong full-stack architecture depth (React/Angular + Python services) and SQL performance leadership.
- Strong best-practices governance mindset (systemic standards, not preferences).
- Demonstrated leadership shipping production LLM systems (RAG, tool use, evaluations) and engineering governance around AI-assisted development (verification, secrets/PII, supply chain).
Preferred qualifications
- Experience operating in high-trust client environments and leading transformations.
- Experience establishing agentic engineering guardrails and templates across teams.
- Nice to have: Lakehouse/warehouse depth with Databricks and/or Snowflake (secure patterns, performance, operational integration with apps/APIs).
Success in first 90 days
- Establishes/strengthens standards and reusable assets that improve delivery velocity.
- Leads a multi-stream delivery track with strong quality and stakeholder trust.
- Reduces recurring issues via systemic fixes (tests, observability, templates).
The starting pay range for this role is $125,000 - $180,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Skills Required
- 6-8+ years of equivalent experience or demonstrated staff-level impact
- Demonstrated multi-team or multi-stream technical leadership
- Strong full-stack architecture experience with React or Angular and Python services
- SQL performance leadership
- Strong best-practices governance mindset
- Demonstrated experience shipping production LLM systems, including RAG, tool use, and evaluations
- Engineering governance experience for AI-assisted development, including verification, secrets/PII, and supply chain controls
- Experience operating in high-trust client environments and leading transformations
- Experience establishing agentic engineering guardrails and templates across teams
- Lakehouse or warehouse experience with Databricks and/or Snowflake
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.









