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Added 32 mins ago
Senior Business Analyst – Digital Product & User Experience
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Toronto, ON
Contract
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Business Analyst
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Senior Financial Analyst
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Added 7 hours ago
Sr. Customer Success Manager
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$100,000 to $130,000 CAD / year
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The Senior Customer Success Manager will play an integral role in delivering our services to customers on their purchased programs, working with our customers to define and execute on their…
Added 7 hours ago
Sr. Customer Success Manager
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$100,000 to $130,000 CAD / year
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Added 8 hours ago
Senior Software Engineer II, Full Stack - Growth (Hybrid)
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Toronto, ON
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Added 9 hours ago
Delivery Solutions Architect
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…levels with an organization. You will report directly to a DSA Manager within the Field Engineering…
Added 9 hours ago
Financial Manager - PLM (Product Line Mgmt)
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Added 10 hours ago
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Added 10 hours ago
Senior Manager, Data Products
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Added 11 hours ago
Manager, Fulfillment (TBS)
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Added 11 hours ago
Senior Product Manager, Applied AI
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Full-time
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Databricks

Delivery Solutions Architect

Canada

Posting language: English
Posted: Sep 30, 2026

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Original job description

REQ ID - CSQ427R305

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams:

Main use cases moving from ‘win’ to production
Enablement/user growth plan
Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
Executive and operational governance

Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
Programming experience in Python, SQL, or Scala
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Understanding of solution architecture related distributed data systems
Understanding of how to attribute business value and outcomes to specific project deliverables
Technical program, or project management including account, stakeholder and resource management accountability
Experience resolving complex and important escalation with senior customer executives
Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Track record of overachievement against quota, Goals or similar objective targets
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Can travel up to 30% when needed

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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More about this job

Responsibilities

The Delivery Solutions Architect will lead post-technical win strategies to accelerate customer adoption and consumption of the Databricks platform. They will act as the primary technical lead, orchestrating internal teams and resources to ensure successful implementation and value realization for strategic accounts.

Requirements

Candidates must have at least 5 years of experience in technical project delivery within the Data and AI domain, along with proficiency in Python, SQL, or Scala. A bachelor's degree in a technical field or equivalent experience is required, as well as a strong background in customer-facing roles.

Skills

Solutions Architecture
Data Intelligence
Python
SQL
Scala
Technical Account Management
Stakeholder Management
Cloud Cost Control
Project Management
Business Analysis
Strategic Planning
Data Systems
Customer Success
Technical Leadership
Consulting

Benefits

Comprehensive benefits
Perks

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Intelligence Platform
Lakehouse
Solutions Architect
Field Engineering
Python
SQL
Scala
Distributed Data Systems
Technical Account Management
Professional Services
KPI Reporting
Cloud Cost Control
Optimization
Stakeholder Management
Strategic Roadmaps
Business Analysis
Project Management
Unity Catalog
Lakeflow
Genie
Agent Bricks
Data Analytics
AI
Customer Success

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