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Added 6 mins ago
HI
Risk Analyst
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Toronto, ON
- Full-time
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- Full-time
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Added 21 mins ago
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Added 21 mins ago
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Toronto, ON · Greater Toronto Area, Canada
- $166,261.26 to $182,887.39 CAD / year
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Added 51 mins ago
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Marketing Communications Specialist, Tim Hortons, Canada
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Added 51 mins ago
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Added 51 mins ago
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Databricks Partner Solutions Leader
Slalom
Calgary, AB
- Full-time
Senior Data and AI Architecture Experience: 8+ years in consulting, data architecture, analytics, AI, or cloud engineering, including 5+ years designing and delivering modern data platforms…

Slalom

Databricks Partner Solutions Leader

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Who We Are

Slalom is a fiercely human business and technology company that leads with outcomes and teams with leaders, bringing more together. Our purpose is to help people and organizations dream bigger, move faster, and build better tomorrows for all. Every day we bring our heads and our hearts to being a trusted copilot, respectful challenger, and unwavering champion for each of our customers.

Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered services company. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

Job Title: Partner Solution Lead, Databricks

Who You’ll Work With

Slalom helps clients use data, AI, and modern cloud platforms to solve their most important business challenges. As a Databricks Partner Solution Lead, you will sit at the intersection of Slalom’s Databricks business unit, regional sales teams, industry leaders, solution architects, and Databricks partner teams.

You will help shape high-impact pursuits, bring technical clarity to complex client problems, and design solutions that connect Databricks’ Data Intelligence Platform with Slalom’s broader consulting, engineering, industry, and delivery capabilities. This role is ideal for a senior technical leader who can move comfortably between executive conversations, solution architecture, partner strategy, and hands-on technical direction.

What You’ll Do

Lead Databricks Solution Strategy: Partner with sales, industry, and Databricks teams to shape pursuits, qualify opportunities, define solution strategy, and create compelling proposals, presentations, demos, and statements of work.

Architect Modern Data and AI Platforms: Design scalable Databricks solutions across data engineering, lakehouse architecture, data warehousing, analytics, machine learning, GenAI, and agentic AI workloads.

Bring Databricks Platform Expertise: Advise clients on modern Databricks capabilities including Unity Catalog, Lakeflow, Delta Lake, Apache Iceberg interoperability, Databricks SQL, AI/BI, Genie, Mosaic AI, Agent Bricks, Model Serving, Vector Search, MLflow, Databricks Apps, and Lakebase.

Connect Business Value to Technical Decisions: Develop TCO, ROI, modernization, migration, and platform adoption narratives that help clients understand the business impact of Databricks investments.

Drive Partner-Led Growth: Work closely with Databricks field teams and Slalom market teams to identify, shape, and expand new and existing opportunities across priority industries and regions.

Create Repeatable Solutions: Contribute to reusable offerings, demos, reference architectures, accelerators, and sales plays that help Slalom scale its Databricks partnership.

Guide Delivery Excellence: Provide technical oversight during pursuit-to-delivery transitions, ensuring solutions are achievable, well-scoped, secure, governed, and aligned to client outcomes.

What You’ll Bring

Senior Data and AI Architecture Experience: 8+ years in consulting, data architecture, analytics, AI, or cloud engineering, including 5+ years designing and delivering modern data platforms in cloud environments.

Databricks Depth: Hands-on experience with Databricks is required, including a strong understanding of Lakehouse architecture, data engineering, governance, analytics, and production implementation patterns.

Presales and Pursuit Leadership: 3+ years leading technical presales, solutioning, or pursuit processes, with demonstrated success partnering with sales and consulting leaders to craft client-specific solutions.

Modern AI Fluency: Familiarity with GenAI, agentic AI, RAG, ML/LLMOps, model evaluation, model serving, and governed AI patterns. Experience with Databricks Mosaic AI, Agent Bricks, MLflow, or Vector Search is a strong plus.

Cloud Platform Knowledge: Experience with AWS, Azure, or GCP data services, including storage, networking, identity and access management, databases, compute, and security controls.

Commercial and Executive Presence: Ability to translate complex technical topics into business value for executives, technical buyers, and delivery teams.

Delivery Credibility: Background in data modeling, data pipeline development, DevOps, CI/CD, migration, performance optimization, and production platform operations.

Relationship Builder: Track record of growing client relationships, collaborating with partner field teams, and building trust across sales, delivery, and technical stakeholders.

Industry Experience: Deep financial industry expertise.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

Slalom Employee Perks:

Culture & fun!
Lunch & learns
Health & wellness activities
Holiday parties
Employee community groups
Social clubs & activities
Vacation (20 days prorated based on start date & wellness/sick days)

Tangible perks

Competitive compensation package
$100 cell phone monthly reimbursement
Registered Retirement Program (RRSP) & Employer Matching
Tax-Free Savings Account (TFSA)
Annual “Thrive Well-Being” Gift Card
Family planning/ Fertility Benefit
Maternity/Parental Leave Top-Up
Medical & Dental Benefits
Life and AD&D Insurance
Access to Supplementary Life and AD&D Insurance
Access to the Employee Assistance Program (EAP) and Inkblot Therapy
And more!

*All benefits are subject to eligibility requirements

Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Please note if you are hired at Slalom you will be required to complete a background check.

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More about this job

Responsibilities

Lead Databricks solution strategy and technical presales, shaping opportunities and designing modern data and AI platforms that connect client needs to business outcomes. Build reusable solutions and partner relationships, and provide technical oversight to ensure proposed work is secure, governed, achievable, and aligned with client goals.

Requirements

Requires 8+ years of experience in consulting, data architecture, analytics, AI, or cloud engineering, including 5+ years designing and delivering cloud data platforms and hands-on Databricks experience. Also requires 3+ years leading technical presales or pursuits, fluency in modern AI and cloud services, delivery credibility, executive communication skills, and deep financial industry expertise.

Skills

Lakehouse Architecture
Data Engineering
Data Governance
Data Warehousing
Analytics
Machine Learning
Generative AI
Agentic AI
Technical Presales
Pursuit Leadership
Cloud Platforms
Executive Communication
Data Pipeline Development
DevOps And CI/CD
Financial Industry Expertise

Benefits

Vacation
Wellness And Sick Days
Cell Phone Reimbursement
Registered Retirement Savings Plan (RRSP) And Employer Matching
Tax-Free Savings Account (TFSA)
Annual Well-Being Gift Card
Family Planning And Fertility Benefits
Maternity And Parental Leave Top-Up
Medical And Dental Benefits
Life And Accidental Death And Dismemberment Insurance
Supplementary Life And Accidental Death And Dismemberment Insurance
Employee Assistance Program
Therapy Access

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Intelligence Platform
Unity Catalog
Lakeflow
Delta Lake
Apache Iceberg
Databricks SQL
AI/BI
Genie
Mosaic AI
Agent Bricks
Model Serving
Vector Search
MLflow
Databricks Apps
Lakebase
Lakehouse
Data Engineering
Data Warehousing
Machine Learning
Generative AI
Agentic AI
RAG
ML/LLMOps
AWS
Azure
Google Cloud Platform
Data Governance
CI/CD
Financial Services

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