Data Architect

Overview Join to apply for the Data Architect role at Slalom . Role - Data Architect. Slalom is a human-focused business and technology consulting company that partners with clients to deliver outcomes from strategy through delivery. Our teams across 52 offices in 12 countries collaborate to create customer experiences, innovative ways of working, and new products and services. What You’ll Do Work in small, collaborative teams with minimal oversight to design and deliver solutions on AWS, Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. Understand the client’s current environment and challenges, define a future-state architecture, and lead analysis, architecture, design, and development of the client’s next-generation Data Platform Solution. Communicate design trade-offs and drive consensus between Slalom and client teams. Break down complex tasks and ensure timely, quality delivery that supports the technical solution. Participate in pre-sales activities when possible, including defining approaches to address technical challenges and assisting business development with estimates and plans. Hybrid/in-office expectations: be in-person with Slalom teams and clients as needed and be within commutable distance to Slalom’s Vancouver office. What You’ll Bring Broad experience in architecture design with deep expertise in one or more data engineering technologies, plus curiosity and a willingness to experiment to meet client data challenges. Ability to break down large problems, self-start, and share learnings with project teams and the Slalom Build community. Experience with data platforms and programming languages, and willingness to explore a range of technologies including those listed below. Strong communication skills to describe pros/cons of solution designs and lead teams to consensus. Technical Focus Areas Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) Object-Oriented Coding (Java, Python) NoSQL Databases (DynamoDB, Cosmos DB, MongoDB) Container Management (Kubernetes, Amazon ECS) AI/ML (Amazon SageMaker, Azure ML Studio) Streaming Ingestion and Analytics (Kinesis, Kafka) Visual Analytics (Tableau, Power BI) Modern Data Workflows (Airflow, dbt, Dagster) Hybrid/In-office Hybrid work arrangement with expectations to be onsite as required by the team lead. Must be within commutable distance to the Vancouver office. Compensation and Benefits Slalom is committed to fair and equitable compensation. For this position, the base salary range is $111,500 to $166,500, with potential for a 10-12% discretionary bonus based on individual and company performance. Actual compensation depends on skills, experience, and qualifications. Culture & fun Lunch & learns Health & wellness activities Holiday parties Employee community groups Social clubs & activities Vacation (20 days prorated) Perks Competitive compensation package $100 cell phone monthly reimbursement RRSP with employer matching TFSA Thrive Well-Being gift card Family planning/fertility benefit Maternity/Parental Leave Top-Up Medical & dental benefits Life and AD&D Insurance Employee Assistance Program (EAP) and therapy options And more All benefits subject to eligibility Slalom is an inclusive, equal opportunity employer. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout recruitment. Background checks apply if hired. Seniorities, Types, and Functions (illustrative) Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Business Consulting and Services Referrals increase your chances of interviewing at Slalom by 2x #J-18808-Ljbffr