Cloud Data Architect Ai Platforms

Slalom Build

Design cloud-native data platforms at Slalom as a Data Architect, applying AWS, Azure, or GCP expertise in a hybrid work model. Shape secure foundations for analytics and AI.This Data Architect role partners with clients, engineers, and Slalom teams to modernize enterprise data ecosystems. You will translate business objectives into maintainable solutions while guiding architecture through implementation. Work may span Databricks, Snowflake, streaming, governance, and AI-ready workloads.Key Responsibilities:
Design cloud-native lakes, lakehouses, warehouses, and real-time platformsLead technical architecture from discovery through implementationFacilitate workshops, discovery sessions, and stakeholder alignmentOperationalize data foundations for analytics, machine learning, and Generative AIMentor engineers and architects across technical capabilitiesRequirements:
Eight or more years in data engineering or architectureEnterprise cloud data platform design and implementation experienceStrong understanding of governance, streaming, and data warehousesHands-on AWS, Azure, or GCP experienceStrong communication, consulting, and stakeholder management skillsBring cloud architecture, data engineering, and AI foundation expertise to Slalom’s client-focused consulting teams and delivery work.
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