Slalom Flex (Project Based)- GCP Data Architect

Experteer Overview As Senior GCP Data Architect, you will lead the design and modernization of enterprise-scale data platforms on Google Cloud. You'll define architecture strategy, establish scalable data solutions, and partner with engineering and business teams to enable analytics, AI/ML, and cloud transformation. You'll shape data architectures, governance, and patterns that drive measurable business impact. This role offers the opportunity to influence modernization at scale within a human-centered, collaborative culture. Compensation / Benefits * Architect and lead end-to-end cloud-based data solutions on Google Cloud Platform (GCP) * Assess existing data ecosystems and develop modernization roadmaps aligned with business objectives * Design scalable data platforms, integration patterns, and data models that support analytics, reporting, and AI/ML initiatives * Establish architecture standards, governance practices, and reusable design patterns for engineering teams * Lead the design of batch, streaming, and real-time data processing solutions * Collaborate with business stakeholders, product leaders, architects, and engineers to deliver high-impact solutions * Provide technical leadership and architectural oversight for strategic data initiatives * Drive adoption of modern architecture approaches including Data Mesh, Data Products, and event-driven architectures Tasks * 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform Design * Extensive experience designing and implementing large-scale cloud data platforms on Google Cloud Platform (GCP) * Strong expertise in: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow) * Experience with modern data processing frameworks including Spark and Kafka * Deep understanding of data modeling, data integration, data quality, and data governance * Experience designing highly scalable, fault-tolerant, and cloud-native data solutions * Expertise with modern data architectures including data lakes, lakehouses, and enterprise data warehouses * Experience with batch, streaming, and Change Data Capture (CDC) data pipelines * Strong communication and stakeholder management skills with the ability to influence technical strategy Key requirements * meaningful time off and paid holidays * 401(k) with match * subsidized health, dental, & vision coverage * adoption and fertility assistance * long-term disability * $350 reimbursement account for wellbeing-related expenses

data of batch, streaming, and real-time data processing solutions * Collaborate with business stakeholders, product leaders, architects, and engineers to deliver high-impact solutions * Provide technical leadership and architectural oversight for strategic data initiatives * Drive adoption of modern architecture approaches including Data Mesh, Data Products, and event-driven architectures Tasks * 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platform Design * Extensive experience designing and implementing large-scale cloud data platforms on Google Cloud Platform (GCP) * Strong expertise in: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow) * Experience with modern data processing frameworks including Spark and Kafka * Deep understanding of data modeling, data integration, data quality, and data governance * Experience designing highly scalable, fault-tolerant, and cloud-native data solutions * Expertise with modern data aaaaaaaaa with including data lakes, lakehouses, and enterprise data warehouses * Experience with batch, streaming, and Change Data Capture (CDC) data pipelines * Strong communication and stakeholder management skills with the ability to influence technical strategy Key requirements * meaningful time off and paid holidays * 401(k) with match * subsidized health, dental, & vision coverage * adoption and fertility assistance * long-term disability * $350 reimbursement account for wellbeing-related expenses