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BU
Senior Lab Demonstrator, Computer Science
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St. Catharines, ON · Main Campus (Employees)
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Senior Manager – Audit Quality
KPMG
Calgary, AB · AB · Lethbridge, AB · Abbotsford, BC · Burnaby, BC · Chilliwack, BC · Fort St. John, BC · Kamloops, BC · Kelowna, BC · Langley (District), BC · Prince George, BC · Quesnel, BC · Vancouver, BC · Vanderhoof, BC · Vernon, BC · Victoria, BC · Winnipeg, MB · St. John's, NL · Halifax, NS · Hamilton, ON · Kingston, ON · London, ON · North Bay, ON · Oakville, ON · Ottawa, ON · Parry Sound, ON · Perth, ON · Sault Ste. Marie, ON · St. Catharines, ON · Sudbury, ON · Toronto, ON · Vaughan, ON · Waterloo, ON · Windsor, ON · ON · Regina, SK · Saskatoon, SK · Swift Current, SK · Edmonton, Alberta · Langley, British Columbia · Kanata, Ontario
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Databricks

Delivery Solutions Architect

ON, Canada

$175,800 - $241,800 CAD

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Job details

Pay: $175,800 - $241,800 CAD
Posting language: English
Posted: Nov 2, 2026

Original job description

REQ ID - CSQ128R75

Location: Vancouver, BC | Calgary, AB | Edmonton, AB / Toronto, ON / Montreal, QC

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 servicing 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 below 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:

7+ 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 to 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 escalations 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Canada Pay Range

$175,800 - $241,800 CAD

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 drive platform adoption, consumption, and customer success within strategic accounts. They act as the primary technical lead, orchestrating internal resources and executive relationships to ensure complex data workloads are successfully deployed and optimized.

Requirements

Candidates must have 7+ years of experience in technical project delivery within the Data and AI domain, including proficiency in Python, SQL, or Scala. A bachelor's degree in a technical field or equivalent experience is required, along with a proven track record of managing complex stakeholder relationships and technical escalations.

Skills

Solutions Architecture
Data Intelligence
Python
SQL
Scala
Technical Account Management
Stakeholder Management
Project Delivery
Cloud Cost Control
Business Analysis
Strategic Roadmapping
Executive Communication
Data Systems
Technical Leadership
Consumption Optimization

Benefits

Annual performance bonus
Equity

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Intelligence Platform
Solutions Architect
Field Engineering
Lakehouse
Python
SQL
Scala
Distributed Data Systems
Technical Account Management
Project Management
Stakeholder Management
Business Analysis
KPI Reporting
Cloud Cost Control
Optimization
Onboarding
Professional Services
Executive Governance
Data and AI

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