Sr Data Platform Architect - Google Cloud Platform

job summary:

Senior Data Platform Architect - Google Cloud Platform

Job Summary:

We have an immediate need for a senior, hands-on contract architects to accelerate our Enterprise Data Platform (EDP) on Google Cloud Platform (Google Cloud Platform). This role will partner closely with Architecture team and engineering teams to drive architecture and delivery across the platform, with a primary focus on our Enterprise Consumption Layer, the standardized analytics serving layer that delivers consumption-ready data products for BI and emerging AI/data-agent use cases.

You'll operate at the intersection of architecture + prototyping + pragmatic delivery, bringing a strong point of view, validating patterns through POCs, and helping teams implement solutions that scale.

This is a remote position. The initial contract is 6 months with the possibility of an extension based on performance.

location: Telecommute

job type: Contract

salary: $80 - 83 per hour

work hours: 8am to 5pm

education: No Degree Required



responsibilities:

Key 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 Google Cloud Platform 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.

Required Qualifications:

• 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 Qualifications:

• 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).

qualifications:

Key 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 Google Cloud Platform 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.

Required Qualifications:

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 Qualifications:

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).

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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