TELECOMMUTE Principal Google Cloud Platform Data Architect

Medinext Global LLC

United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Agile Methodology Artificial Intelligence Airflow Amazon Web Services Data Analysis Computing Platforms Big Data BigQuery Information Systems Data Architecture Information Engineering Data Governance

+23 more

Data Masking Data Security Data Warehousing DevOps Data Flow Control Apache Hadoop Identity and Access Management Cloud Services Cloudera Pulumi Google Cloud Apache Spark Infrastructure as Code (IaC) Amazon Virtual Private Cloud (VPC) Containerization Kubernetes Information Technology Apache Kafka Data Management Terraform Looker Analytics Apache Beam Confluent

Job description

We are seeking a hands-on Principal Google Cloud Platform Data Architect to lead the design, and implementation of large-scale data ecosystems.

The ideal candidate is an architect who has led massive cloud migrations, built self-serve data platforms from the ground up, and maintains a rigorous focus on data governance and security., * Strategic Architecture: Define the long-term roadmap for data platforms on Google Cloud Platform, ensuring alignment with global business goals and “North Star” data strategies.

Self-Serve Platform Design: Architect and oversee the build-out of modern, self-serve data architectures that empower decentralized teams while maintaining central standards.
Large-Scale Migrations: Lead complex end-to-end migration from AWS to Google Cloud Platform.
Data Governance & Security: Design and enforce robust data security frameworks including IAM, VPC Service Controls, Data Masking/Encryption, and automated governance using Dataplex.
Infrastructure as Code (IaC): Drive automation using Terraform or Pulumi to ensure repeatable, scalable, and version-controlled infrastructure.
Executive Stakeholder Management: Act as a trusted advisor to the VP of Data, articulating the ROI of data initiatives and managing technical risk.

Requirements

Cloud Expertise: Expert-level mastery of the Google Cloud Platform Data Stack:
Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage.
Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).
Messaging: Pub/Sub and Confluent/Kafka integration.
Analytics & AI: Looker, Vertex AI, and BigQuery ML.
Certifications: Must hold an active Google Cloud Platform Professional Data Engineer certification.
DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high level of technical proficiency and architectural maturity.
Modern Data Stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes)., * Years of Experience: 18-20 years in Data Engineering, Data Warehousing, and Business Intelligence, with at least 6+ years focused specifically on Google Cloud Platform.
Migration Track Record: Proven experience leading at least two enterprise-scale migrations (PB-scale) to the cloud.
Leadership: Demonstrated experience leading large, cross-functional engineering teams in an Agile/DevOps environment.
Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.