Randstad Digital Americas · 19 hours ago
Sr Data Platform Architect - GCP
Randstad Digital Americas is seeking a Senior Data Platform Architect with expertise in Google Cloud Platform. This role focuses on accelerating the Enterprise Data Platform and involves collaborating with architecture and engineering teams to drive architecture and delivery, particularly in the Enterprise Consumption Layer for data products.
Information Technology & Services
Responsibilities
Lead rapid POCs and technical exploration to validate EDP and Enterprise Consumption Layer patterns (data modeling approach, performance/cost, security, operability)
Define and evolve architecture patterns and reference implementations for:
Building and maintaining the Enterprise Consumption Layer (enterprise-ready star schemas / dimensional models)
Data product structure, onboarding standards, and lifecycle (naming, documentation, quality expectations)
BI and downstream access patterns (including guardrails for scalable consumption)
Build hands-on prototypes on GCP when needed (you can implement, not just design)
Partner with architects, engineers, and product owners to design solutions that balance:
Speed vs durability
Innovation vs standardization
Incremental delivery vs long-term platform fit
Contribute to practical enablement of data/AI agent use cases where valuable (e.g., data discovery, metadata-driven workflows, quality checks, operational insights)
Provide technical leadership through design reviews, tradeoff decisions, documentation, and stakeholder communication
Operate in a Kanban/Agile model using Jira, delivering measurable outcomes iteratively
Qualification
Required
8+ years overall IT experience with significant hands-on delivery in modern data platforms
Strong experience building on Google Cloud Platform, including several of: BigQuery (modeling, optimization, cost/performance patterns), Dataform (or equivalent transformation framework), GCS, Cloud Composer, Cloud Functions/Cloud Run, IAM, Logging/monitoring patterns (Cloud Logging/Monitoring)
Demonstrated ability to work across architecture + implementation: define a pattern, prototype it, and guide adoption
Strong foundation in: Dimensional modeling / star schemas, metric definitions, and consumption-ready data structures, Data quality mindset (what 'enterprise-ready' looks like), Security and access design (least privilege, domain/dataset-based access concepts)
Strong communication skills with the ability to explain tradeoffs to both technical and non-technical stakeholders
Preferred
Experience in retail / consumer / omni-channel domains (customer, product, inventory, orders, pricing, promotions, loyalty)
Familiarity with semantic layer concepts (even if not implementing one)
Experience with data catalog / metadata platforms and governance workflows
Exposure to LLM-enabled/agentic tooling and automation patterns
Prior work in platform modernization or EDW migration programs
Experience defining enterprise standards (naming, dataset organization, data product onboarding, testing patterns)
Benefits
Medical
Prescription
Dental
Vision
AD&D
Life insurance offerings
Short-term disability
401K plan
Company
Randstad Digital Americas
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains.