Posted:
9/17/2024, 3:38:54 AM
Location(s):
Pennsylvania, United States ⋅ Las Vegas, Nevada, United States ⋅ Virginia, United States ⋅ Pittsburgh, Pennsylvania, United States ⋅ Nevada, United States ⋅ Phoenix, Arizona, United States ⋅ Wisconsin, United States ⋅ Herndon, Virginia, United States ⋅ New York, New York, United States ⋅ New York, United States ⋅ Arizona, United States ⋅ Milwaukee, Wisconsin, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics
Are you ready to step up to the New and take your technology expertise to the next level?
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Google Cloud Platform (GCP) Senior Data Platform Architect is responsible for designing, implementing, and managing scalable and secure data solutions on the Google Cloud Platform (GCP). This individual will be a technical leader, collaborating with various teams to understand data requirements and translating them into robust architectural blueprints. The ideal candidate possesses a deep understanding of GCP's data services, data warehousing, data lakes, big data technologies, and data security best practices. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.
Key responsibilities may include:
Architecture and Design: Design and implement end-to-end data solutions on GCP, encompassing data ingestion, storage, processing, transformation, and analytics.
Data Warehousing and Lakes: Architect, design, and deploy data warehouses and data lakes, utilizing technologies like BigQuery, Dataflow, and Dataproc.
Big Data Solutions: Design and implement big data solutions on GCP, including data pipelines, streaming analytics, and machine learning workflows.
Data Security and Governance: Establish and maintain robust data security frameworks, implement access controls, and ensure data governance practices.
Performance Optimization: Monitor, analyze, and optimize data platform performance to ensure optimal efficiency and cost-effectiveness.
Technology Evaluation: Stay updated on the latest GCP data technologies, evaluating and recommending their adoption within the organization.
Collaboration: Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand requirements and deliver optimal solutions.
Documentation: Develop clear and comprehensive documentation, including architectural diagrams, design specifications, and operational guidelines.
Foundational GenAI: Understanding of LLMs, Prompt engineering, Model Evaluation & Fine-tuning, ML ops and Ethical & responsible AI .
Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.
Basic Qualifications:
GCP Expertise: Minimum of 3+ years of professional experience with GCP data services, including BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and related technologies.
Data Warehousing: Minimum of 6+ years of strong proficiency in data warehousing concepts, data modeling, and ETL/ELT processes.
Big Data: Minimum of 6+ years of professional experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
Data Security: Deep understanding of data security principles and best practices on GCP with minimum 3+ years of professional experience.
Cloud Architecture: Minimum of 6+ years of technical solutions implementation, architecture design, evaluation, and investigation in a cloud environment. Proven track record in designing and implementing cloud-based data architectures.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have a minimum 6 years work experience)
Preferred Qualifications
GCP: Experience working in GCP cloud – Organization policies, IAM, VM, DB, Kubernetes & Containers.
Vertex AI: Proficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models.
Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models.
Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models.
MLOps for GenAI: Experience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models.
Problem-Solving: Excellent analytical and problem-solving skills.
Communication: Strong communication and interpersonal skills, capable of collaborating effectively with various teams.
Certifications: GCP Professional Data Engineer or equivalent certifications are highly desirable.
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 in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here.
Role Location Annual Salary Range
California $131,100 to $302,400
Colorado $131,100 to $261,300
District of Columbia $139,600 to $278,200
New York $121,400 to $302,400
Maryland $121,400 to $241,900
Washington $139,600 to $278,200
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About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
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Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
Website: https://accenture.com/
Headquarter Location: Dublin, Dublin, Ireland
Employee Count: 10001+
Year Founded: 1989
IPO Status: Public
Last Funding Type: Grant
Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing