Description and RequirementsJob Description
Job Title: Databricks Architect (For Vacant Role)So, what will I do?- 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
And, 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 platfrom 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 agentic AI tooling and frameworks and applying autonomous or semi-autonomous agents within data engineering, orchestration, analytics, or platform automation use cases.
- Hands-on experience leveraging AI-powered coding assistants such as GitHub Copilot, Codex Claude Code, Cursor, Windsurf or similar tools to accelerate development, improve test coverage, enhance documentation, and drive engineering productivity in enterprise environments.
- Interest in exploring AI-native development patterns and embedding intelligent automation into modern Lakehouse and cloud-native data architectures.
- Strong skills in streaming data ingestion and modern data workflows.
- Experience in delivering large scale migration and modernization initiatives 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 ceritification 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 is committed to fair and equitable compensation practices. For this position, the expected base salary pay range is $100,000 to $150,000.
In addition, there is potential for a 10% discretionary bonus based on individual and company performance. Actual compensation will depend upon individual's skills, experience, qualifications, and other relevant factors.
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
