# Manager, Delivery Solutions Architects

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Toronto, Canada
**Role:** Engineering Management
**Salary:** CA$254k – CA$340k/yr
**Experience:** 8+ years
**Skills:** Databricks, SaaS, Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, Artificial Intelligence, Data Science, DevOps, Data Architecture, Production Deployment
**Posted:** 2026-08-11

> Leads and develops a regional team of Delivery Solution Architects responsible for post-sales technical strategy, customer architecture, and accelerating enterprise data and AI workloads into production. Requires 7+ years of customer-facing experience and technical post-sales leadership in SaaS and data platforms.

## Job Description

## Responsibilities
- Build and lead a team of Delivery Solution Architects responsible for post-sales technical strategy for enterprise customers.
- Shape and monitor regional post-sales execution strategy in collaboration with sales, pre-sales, professional services, and partners.
- Make regional investment decisions with sales and pre-sales managers.
- Shape and promote the Delivery Solution Architect value proposition with sales teams and customers.
- Serve as technical sponsor and thought leader for selected customers.
- Hire, coach, and develop the team to work with customer stakeholders through C-level executives to accelerate production use cases and usage growth.
- Create assets to build the Delivery Solution Architecture practice and improve customer engagement effectiveness and consistency.
- Manage a diverse team to achieve customer, company, and team goals, including usage growth, career development, and hiring.
- Maintain advanced knowledge of the technology stack and ensure continuous team learning and certification progress.
- Assign accounts and distribute work for optimal customer coverage and team balance.
- Build relationships with sales, pre-sales, and professional services teams to accelerate customer growth.
- Work with cross-functional teams to reduce customer risk, resolve escalations, and address blockers.
- Monitor customer progress and forecast growth.
- Improve internal processes, drive operational rigor, and lead high-impact organizational programs.
- Maintain a robust hiring pipeline.

## Requirements
- 7+ years of successful experience in a customer-facing role.
- Proven delivery experience with SaaS technologies, particularly data analytics, data warehousing, data engineering, ETL, machine learning, AI, or data science.
- Experience building and leading technical post-sales teams, including hiring, onboarding, and enablement.
- Experience serving as a trusted advisor to technical executives on strategic data project delivery decisions.
- Experience leading architecture discussions, use-case go-lives, project and execution plans, and customer growth strategies.
- Experience fostering collaboration among Field Engineering, Sales, and internal partners.
- Experience delivering and deploying workloads or data products into production, such as in a delivery architect, project manager, DevOps, or service/product owner role.
- Understanding of customer business issues and big-data use cases across industries.

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