Accenture

Google (GCP) Data Architecture Lead

Accenture$122K — $338K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in Data Architecture or Data Engineering.
  • 12+ years in enterprise-scale data migration and transformation.
  • 12+ years building secure and scalable data architectures.
  • 12+ years working with modern cloud-based data ecosystems.
  • Expertise in Google Cloud Platform (GCP) data services such as BigQuery and Cloud Spanner.
  • Strong understanding of data governance, metadata management, and enterprise data modeling.
  • Excellent stakeholder management and communication skills.

Responsibilities

  • Lead design of enterprise data architectures on GCP.
  • Architect large-scale data migration from legacy to cloud environments.
  • Design secure and high-performance GCP data solutions.
  • Develop data models and governance standards to enhance data quality.
  • Manage GCP data platform capabilities for ingestion and processing.
  • Define data strategies and roadmaps with stakeholders.
  • Establish architectural standards and reference best practices.

Benefits

  • Medical, dental, and vision insurance coverage.
  • Life and long-term disability insurance.
  • 401(k) retirement plan with contributions.
  • Bonus opportunities based on performance.
  • Paid holidays and time off.
Full Job Description
We are seeking an experienced GCP Data Architecture Lead to drive large-scale cloud data transformation initiatives and architect modern, enterprise-grade data platforms on Google Cloud Platform (GCP). This role will lead the design and execution of complex data modernization programs, including enterprise data migrations, cloud-native data architectures, governance frameworks, and scalable analytics solutions.

The ideal candidate combines deep expertise in GCP's modern data ecosystem with proven experience delivering secure, high-performance data platforms that enable business intelligence, AI, machine learning, and advanced analytics at scale.

Key Responsibilities
  • Lead the design and implementation of enterprise data architectures on Google Cloud Platform (GCP).
  • Architect and deliver large-scale data migration and modernization programs from legacy platforms to cloud-native environments.
  • Design secure, scalable, and high-performance data solutions leveraging GCP services and industry best practices.
  • Develop enterprise data models, metadata frameworks, and governance standards to improve data quality, accessibility, and compliance.
  • Implement and manage modern GCP data platform capabilities, including data ingestion, processing, storage, governance, and analytics.
  • Partner with business and technology stakeholders to define data strategies, roadmaps, and target-state architectures.
  • Establish architectural standards, reference patterns, and best practices for enterprise data platforms.
  • Provide technical leadership and guidance to engineering teams throughout solution design and implementation.
  • Support advanced analytics, AI, and machine learning initiatives through robust data architecture and governance practices.


Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.

Required Qualifications
  • Minimum 12 years of experience in Data Architecture, Data Engineering, or Cloud Data Platform modernization.
  • Minimum 12 years of experience designing and executing enterprise-scale data migration and transformation programs.
  • Minimum 12 years of experience building secure, scalable, and high-performance data architectures.
  • Minimum 12 years of experience working with modern data platforms and cloud-based data ecosystems.
  • Deep expertise with Google Cloud Platform (GCP) data services, including:
    • BigQuery
    • Cloud Spanner
    • Dataplex
  • Strong understanding of:
    • Enterprise data modeling
    • Data governance and stewardship frameworks
    • Metadata management
    • Ontology design and instantiation
    • Data security and regulatory compliance
  • Proven ability to lead architecture decisions for complex enterprise data environments and modernization initiatives.
  • Excellent stakeholder management, communication, and leadership skills.
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)


Preferred Qualifications
  • Google Cloud Professional Data Engineer Certification.
  • Google Cloud Professional Cloud Architect Certification.
  • Experience supporting AI, machine learning, and advanced analytics solutions on GCP.
  • Experience establishing enterprise-wide data governance and data quality programs.
  • Consulting or advisory experience leading cloud transformation initiatives across large organizations.


Pay Transparency Info for Job Postings:

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 08/27/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $132,500 to $338,300

Cleveland $122,700 to $270,600

Colorado $132,500 to $292,200

District of Columbia $141,100 to $311,200

Illinois $122,700 to $292,200

Maine $112,900 to $249,000

Maryland $132,500 to $292,200

Massachusetts $132,500 to $311,200

Minnesota $132,500 to $292,200

New York $122,700 to $338,300

New Jersey $141,100 to $338,300

Virginia $122,700 to $311,200

Washington $141,100 to $311,200

About Accenture

Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
Learn more about Accenture
Size
624,000 employees
Market Cap
$173.8 billion
Industry
Net Income
$5.2 billion
Founded
1989
5 Year Trend
+11.2%
Revenue
$44.7 billion
NASDAQ

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