Google Data Specialist

Accenture; Columbus (OH); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Job summary

Accenture in Columbus, Ohio, is seeking a GCP Data Specialist to deliver data modernization and AI solutions on Google Cloud Platform. The ideal candidate has at least 2 years of experience in data engineering, analytics, or machine learning, and is proficient in GCP tools.

The role involves building data pipelines, supporting architecture design, and collaborating with clients. Accenture offers competitive compensation and a range of benefits including medical and retirement plans.

Qualifications

• 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.

Responsibilities

• Build data pipelines, ETL/ELT processes, and integrations using GCP services.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Participate in client workshops to understand data needs, use cases, and technical requirements.

Skills

Data Engineering

Data Analytics

Machine Learning

Python

SQL

Education

Bachelor's degree or equivalent

Tools

GCP (Google Cloud Platform)

BigQuery

Looker

Vertex AI

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 who is 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.

Hands‑On Technical Delivery

• Build data pipelines, ETL/ELT processes, and integrations 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 data sources.
• Support development of dashboards and analytics products using Looker or Looker Studio.

Support Agentic AI & ML Solution Development

• Assist in developing ML models and AI solutions using Vertex AI, Gemini Foundation Models, Gemini Enterprise, model APIs, and 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.

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.

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 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.

Requirements

• 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/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

• 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 and Benefits

Compensation at Accenture varies depending on a wide array of factors, including office location, role, skill set, and level of experience. 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.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Opportunity Statement at https://www.accenture.com/content/dam/accenture/final/accidenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50.