Databricks Architect

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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.

Databricks Architect

Collaborate closely with data leaders to drive sales, recruiting, account management, consulting, and operational excellence across the practice

Be part of our growing Databricks Center of Excellence and focus on delivering/leading on Databricks projects.

Act as a Databricks SME, supporting business development efforts and guiding clients through best practices in architecture, data engineering, and scalable analytics

Drive innovation and performance through a team‑based approach that values output, ownership, and employee wellbeing

Lead and manage project risk—including planning, budgeting, deliverables, and executive-level alignment

Deepen Slalom’s presence in the market by developing proposals, SOWs, and strategies to grow our footprint within existing accounts

Provide technical and architectural guidance on Databricks, modern data platforms, and cloud‑native solutions to both clients and Slalom team members

Be a mentor and thought leader, regularly recommending emerging technologies and tools that align with client goals and future‑state data strategies

Bring a business‑first lens to every conversation, driving impactful, tech‑enabled outcomes that elevate our clients’ competitive edge

Embody Slalom’s core values and culture, bringing authenticity, curiosity, and care into every interaction

What will I bring? As an Architect in the Databricks practice, you will leverage your extensive experience in architecture design and expertise in data engineering technologies to craft innovative solutions that meet our clients' data needs. You are a leader in your field, ready to experiment and drive projects forward.

Key Responsibilities

Design and implement scalable data architectures using Databricks, with hands‑on experience in specific platform features such as Delta Lake, Uniform (Iceberg), Delta Live Tables, and Unity Catalog.

Lead and mentor engineering teams, fostering a culture of learning and innovation, while driving best practices in data management and performance optimization.

Engage with clients to understand their business challenges and deliver solutions that align with their goals, utilizing Databricks' capabilities to enhance outcomes.

Demonstrate hands‑on technical leadership in designing and developing different components of a Data Lakehouse platform to meet client’s business needs.

Requirements 8+ years of experience in data engineering or architecture, including 4+ years of direct experience with Databricks and specific products like Delta Lake, Delta Live Tables, and Unity Catalog.

Deep expertise in Big Data Platforms and Cloud Data Warehouses.

Strong understanding of Databricks platform technical architecture on public cloud platforms like AWS, Azure, GCP etc. with experience in standing up scalable Databricks environments from scratch.

Strong expertise in building industry standard, extensible data models for Silver and Gold layers of the Lakehouse solution following design standards like Star Schema, Data Vault etc.

Advanced proficiency in Object‑Oriented programming languages (like Java, Python, PySpark) and NoSQL Databases including performance tuning and optimization of complex data pipeline solutions.

Experience with Container Management Systems and AI/ML platforms.

Strong skills in streaming data ingestion and modern data workflows.

Experience in delivering large scale migration, modernization initiative from legacy Data Warehouses to Databricks Lakehouse platform.

Exposure to Databricks consumption estimates calculation considering different Data & AI pipeline workloads for multiple environments.

Exposure to building Disaster Recovery (DR) solution strategy and implementation for a large Databricks platform is a big plus.

An ideal candidate will have Databricks Data Engineering Professional certification completed with multiple complex Databricks project delivery experience.

Hybrid/In office: We are hybrid but there are expectations that if your team leader requires you onsite that you are able to meet those expectations/requirements

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

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Design, Art/Creative, and Information Technology

Industries Business Consulting and Services

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