Google Data Specialist

Accenture; Austin (TX); On-site; USD 90,000 - 160,000; Full time

Job summary

Accenture is seeking a GCP Data Specialist to help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will design architectures, build data pipelines, and assist with ML model development under guidance from senior team members.

The role emphasizes hands-on delivery, data governance, and collaboration with clients and delivery teams, including exposure to Vertex AI and Gemini models. Travel may be required.

Qualifications

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

Responsibilities

• 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.
• Support Agentic AI & ML Solution Development: Develop ML models and AI solutions using Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings.
• Implement ML pipelines and establish MLOps (monitoring, retraining, deployment).
• Support prompt engineering, embeddings, and retrieval‑augmented generation (RAG) experiments.
• Contribute to model testing, validation, and documentation.
• 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.
• Continuous Learning & Team Support: Learn and apply GCP Data & AI best practices, collaborate with senior engineers/architects, contribute to accelerators, stay current with GCP releases and Gemini updates.

Skills

Data Engineering

Analytics

ML Engineering

GCP

SQL

Python

Looker

Vertex AI

Gemini

Education

Bachelor's degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

IAM

Dataplex

Looker Studio

Job description

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.

1. 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.

1. 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.

1. 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.

1. 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 (https://www.accenture.com/us-en/careers/local/benefits)

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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