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Google Data Specialist

Technology Architecture Team Lead/Consultant | Mid-Level | Full time
Oferta No. R00336594 | Multiple Locations
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We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

You Are

A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.

You’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.

The Work (What You Will Do)

As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.

1. Hands-On Technical Delivery

  • Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage

  • Assist with data modeling, performance tuning, and query optimization in BigQuery.

  • Implement data ingestion patterns for batch and streaming data sources.

  • Support development of dashboards and analytics products using Looker or Looker Studio.

2. Support Agentic AI & ML Solution Development

  • Assist in developing ML models and AI solutions using:
    Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings

  • Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).

  • Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.

  • Contribute to model testing, validation, and documentation.

3. Requirements Gathering & Client Collaboration

  • Participate in client workshops to understand data needs, use cases, and technical requirements.

  • Help translate functional requirements into technical tasks and implementation plans.

  • Communicate progress, blockers, and insights to project leads and client stakeholders.

4. Data Governance, Quality & Security Support

  • Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).

  • Follow best practices for security, identity management, and compliance.

  • Support operational processes for data validation, testing, and monitoring.

5. Continuous Learning & Team Support

  • Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.

  • Collaborate closely with senior data engineers, ML engineers, and architects.

  • Contribute to internal accelerators, documentation, and reusable components.

  • Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

  • Minimum of 2 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.

  • Minimum of 2 years of practical experience with Google Cloud Platform.

  • Minimum of 2 years of experience with SQL, data modeling, and building data pipelines.

  • Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred).

  • Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience

Bonus points if you have

  • Familiarity with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker.

  • Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns.

  • Hands-on experience with CI/CD, Git, or cloud-native engineering practices.

  • Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer).

  • Experience working in agile delivery environments.

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 07/31/2026. 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 $70,350 to $196,000 Cleveland $59,100 to $156,800 Colorado $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 Maine $54,400 to $144,300 Maryland $63,800 to $169,300 Massachusetts $63,800 to $180,300 Minnesota $63,800 to $169,300 New York $66,300 to $196,000 New Jersey $68,000 to $196,000 Virginia $59,100 to $180,300 Washington $80,200 to $180,300

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Arlington, VA

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Igualdad de oportunidades laborales

Todas las decisiones de empleo se tomarán sin considerar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, condición de discapacidad, condición de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía o cualquier otro criterio protegido por las leyes federales, estatales o locales.

Las personas candidatas no estarán obligadas a revelar antecedentes penales o de arresto que hayan sido sellados o eliminados como parte del proceso de contratación.

Accenture está comprometido con brindar oportunidades laborales a veteranos, incluyendo a hombres y mujeres que han prestado servicio.

Para más información sobre cómo procesamos tus datos durante el proceso de reclutamiento y contratación, por favor consulta la Declaración de Reclutamiento y Contratación de Accenture.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.

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