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 BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise. About You 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. Build data pipelines and ETL/ELT processes using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. Assist with data modeling, performance tuning, and query optimization in BigQuery. 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 Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements. 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. 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 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 below. Benefits 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. Locations and Salary Ranges 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 Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. 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