West Monroe · 16 hours ago
Data Architect, Google Cloud Platform (GCP)
West Monroe is a global business and technology consulting firm passionate about creating measurable value for clients. The Data Architect will lead the design and delivery of cloud-native data architectures and solutions, working closely with stakeholders to build robust data platforms that enable advanced analytics and real-time processing.
Business DevelopmentConsultingInformation ServicesInformation TechnologyService Industry
Responsibilities
Design and implement scalable, secure, and high-performance data architectures on Google Cloud Platform (GCP)
Define and implement data lake and data warehouse architectures using GCP services such as BigQuery, Cloud Storage, Dataplex, and Dataform
Develop strategies for data migration to GCP from on-premises or other cloud platforms, ensuring minimal disruption and optimal performance
Architect and oversee the implementation of batch data pipelines using tools such as Dataflow, BigQuery Dataform, and Data Fusion
Guide the development of data models optimized for performance, scalability, and cost-efficiency in BigQuery and other GCP services
Define and implement best practices for data governance, data quality, lineage, security, and compliance in GCP environments, leveraging tools like Cloud DLP, IAM, and Dataplex
Partner with stakeholders to establish real-time analytics pipelines using services like Pub/Sub, Dataflow, and BigQuery streaming
Provide expertise in data partitioning, clustering, and query optimization to reduce costs and improve performance
Lead the adoption of serverless solutions and modern data engineering practices, including CI/CD pipelines for data workflows using tools like Cloud Build, GitHub Actions, or Terraform
Evaluate and recommend GCP-native AI/ML tools such as Vertex AI and AutoML for advanced analytics and predictive modeling
Serve as a trusted advisor to clients, presenting technical solutions, architectural roadmaps, and cost optimization strategies
Conduct workshops, proof-of-concepts (POCs), and training sessions to help clients adopt GCP technologies
Lead end-to-end implementation of data solutions, including ETL/ELT pipelines, data lakes, and data warehouses, ensuring delivery within scope, budget, and timeline
Troubleshoot and resolve complex issues related to GCP infrastructure, data pipelines, and integrations
Monitor and optimize the performance and cost of GCP data systems, leveraging tools like Cloud Monitoring, Cloud Logging, and BigQuery BI Engine
Qualification
Required
7+ years of experience in data architecture, data engineering, or related roles, with at least 3 years of hands-on experience in Google Cloud Platform (GCP)
Proven track record of delivering data lake, data warehouse, and real-time analytics solutions on GCP
Expertise in GCP services including BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Cloud SQL/Spanner
Proficiency in designing and implementing ETL/ELT pipelines using Cloud Data Fusion, Apache Beam, or Cloud Composer
Experience with streaming data pipelines using Pub/Sub and Dataflow
Familiarity with Vertex AI, AutoML, and AI Platform Pipelines for machine learning workflows
Strong understanding of IAM roles, service accounts, VPC Service Controls, and encryption best practices
Proficiency in SQL for data modeling, querying, and optimization in BigQuery
Strong programming skills in Python or Java, with experience in building reusable data pipelines and frameworks
Experience with Terraform or Deployment Manager for infrastructure as code (IaC) in GCP environments
Familiarity with CI/CD pipelines for data workflows using Cloud Build or other DevOps tools
Proven ability to lead technical teams and deliver complex projects
Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences
Preferred
GCP certifications such as Professional Data Engineer or Professional Cloud Architect are preferred
Experience with data mesh or data fabric architectures is a plus
Knowledge of multi-cloud and hybrid cloud strategies is a plus
Familiarity with other cloud platforms such as AWS or Azure is a plus
Hands-on experience with data observability tools such as Monte Carlo or Databand is a plus
Benefits
Medical, dental, vision, and basic life insurance
401k plan
Employee stock ownership program
Annual bonuses
Unlimited flexible time off
Ten paid holidays throughout the calendar year
Ten weeks of paid parental leave
Company
West Monroe
West Monroe offers digital transformation, analytics, cloud, cyber security, business advisory, and management consulting services.
H1B Sponsorship
West Monroe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (2)
2022 (10)
2021 (7)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
MSD Partners
2021-10-15Series Unknown
2020-01-07Acquired
Leadership Team
Recent News
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