Job Title

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. Job Title Databricks Architect Overview 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 riskincluding planning, budgeting, deliverables, and executive-level alignment Deepen Slaloms 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 Slaloms core values and culture, bringing authenticity, curiosity, and care into every interaction What you will 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 platform features such as Delta Lake, Iceberg (Uniform), 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 components of a Data Lakehouse platform to meet client needs Requirements 8+ years of experience in data engineering or architecture, including 4+ years of direct experience with Databricks and 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 clouds (AWS, Azure, GCP, etc.) with experience standing up scalable Databricks environments from scratch Strong expertise in building industry-standard, extensible data models for Silver and Gold layers of Lakehouse solutions following design standards like Star Schema, Data Vault, etc. Advanced proficiency in object-oriented programming languages (e.g., Java, Python, PySpark) and NoSQL databases, including performance tuning and optimization of complex data pipelines Experience with container management systems and AI/ML platforms Strong skills in streaming data ingestion and modern data workflows Experience delivering large-scale migrations and modernization initiatives from legacy data warehouses to Databricks Lakehouse platform Exposure to Databricks consumption estimates considering different Data & AI pipeline workloads for multiple environments Exposure to building Disaster Recovery (DR) strategies and implementations for large Databricks platforms is a plus Databricks Data Engineering Professional certification and multiple complex Databricks project delivery experience is preferred Hybrid/In-office We are hybrid, but there are expectations that if your team leader requires you onsite 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 #J-18808-Ljbffr