Google Data Specialist

Overview

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 Big Query, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

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.

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.

• Build data pipelines and ETL/ELT processes using GCP services such as Big Query, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Assist with data modeling, performance tuning, and query optimization in Big Query.
• Implement data ingestion patterns for batch and streaming sources.
• Support development of dashboards and analytics products using Looker or Looker Studio.
• Develop 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 experimentation.
• Contribute to model testing, validation, and documentation.
• Participate in client workshops to understand data needs, use cases, and technical requirements.
• Translate functional requirements into technical tasks and implementation plans.
• Communicate progress, blockers, and insights to project leads and client stakeholders.
• 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.
• 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.

• Minimum 2 years of hands‑on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum 2 years of practical experience with Google Cloud Platform.
• Minimum 2 years of experience with SQL, data modeling, and building data pipelines.
• Minimum 2 years of experience with Python or other AI / GenAI tools (Vertex AI preferred).
• Bachelor’s degree or equivalent (minimum 12 years of work experience). If Associate’s Degree, must have equivalent 6-year work experience.

• Familiarity with GCP services such as Big Query, 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, including but 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…