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I&P - GN - SONG - AI & Data - Marketing - MMM GCP - Consultant
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign end-to-end data architectures on GCP using BigQuery, Dataflow, Pub/Sub and Vertex AI
Build serverless streaming and batch data pipelines with Apache Beam and Cloud Dataflow
Integrate Gemini API generative AI into data products and analytical workflows
Orchestrate ML training and inference pipelines on Vertex AI
Configure real-time event-driven architectures with Pub/Sub for ingestion and messaging
From the employer’s posting
Design and implement end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API.
Build scalable, serverless streaming and batch data pipelines using Apache Beam and Cloud Dataflow.
Integrate Gemini API for generative AI use cases within data products and analytical workflows.
Orchestrate ML training and inference pipelines on Vertex AI, ensuring reliability and performance at scale.
Configure real-time event-driven architectures using Pub/Sub for data ingestion and messaging.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Accenture is hiring
202 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- dbt
- GCP
- Terraform
- PySpark
Where the posting names them
Professional & Technical Skills: • Must Have Skills: Proficiency in GCP services — BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API Integration, hands-on experience in Pyspark, SQL, Python for pipeline development. • Hands-on experience designing and deploying streaming and batch data pipelines on GCP.
• Hands-on experience designing and deploying streaming and batch data pipelines on GCP. • Strong SQL and Python skills for data transformation and pipeline development. • Experience with Vertex AI Pipelines for orchestrating end-to-end ML workflows.
Job Summary: As a Data Engineering Consultant specializing in GCP Architecture, you will be responsible for designing, building, and optimizing cloud-native data solutions on Google Cloud Platform. Your typical day will involve architecting scalable data pipelines using BigQuery, Dataflow, and Pub/Sub, integrating generative AI capabilities via the Gemini API, and deploying ML workflows through Vertex AI Pipelines. You will work closely with data architects and engineering teams to translate business requirements into production-grade GCP data architectures and deliver robust GCP solutions. Roles & Responsibilities:
Roles & Responsibilities: • Design and implement end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API. • Build scalable, serverless streaming and batch data pipelines using Apache Beam and Cloud Dataflow.
• Familiarity with CI/CD tooling and infrastructure-as-code (Terraform or Deployment Manager). • Exposure to dbt or similar transformation frameworks is an advantage. Additional Information:
• Collaborate with data scientists, analysts, and client stakeholders to define data platform requirements. • Conduct performance tuning, cost optimization, and governance reviews for GCP environments. • Stay current with GCP product releases and AI/ML advancements, recommending adoption where impactful.
Additional Information: • The ideal candidate will have a strong background in cloud data engineering with demonstrable experience delivering GCP-based solutions in consulting or enterprise environments. • This position is based at PAN India offices.
• Knowledge of IAM, VPC, and GCP security best practices for data platforms. • Familiarity with CI/CD tooling and infrastructure-as-code (Terraform or Deployment Manager). • Exposure to dbt or similar transformation frameworks is an advantage.
Your next step
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Already applied? Track this application
Has Accenture posted this job before?
Yes. We’ve followed one other I&P - GN - SONG - AI & Data - Marketing - MMM GCP - Consultant job there since October 2026. It came down after 1 day.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Summary:
As a Data Engineering Consultant specializing in GCP Architecture, you will be responsible for designing, building, and optimizing cloud-native data solutions on Google Cloud Platform. Your typical day will involve architecting scalable data pipelines using BigQuery, Dataflow, and Pub/Sub, integrating generative AI capabilities via the Gemini API, and deploying ML workflows through Vertex AI Pipelines. You will work closely with data architects and engineering teams to translate business requirements into production-grade GCP data architectures and deliver robust GCP solutions.
Roles & Responsibilities:
• Design and implement end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API.
• Build scalable, serverless streaming and batch data pipelines using Apache Beam and Cloud Dataflow.
• Integrate Gemini API for generative AI use cases within data products and analytical workflows.
• Orchestrate ML training and inference pipelines on Vertex AI, ensuring reliability and performance at scale.
• Configure real-time event-driven architectures using Pub/Sub for data ingestion and messaging.
• Collaborate with data scientists, analysts, and client stakeholders to define data platform requirements.
• Conduct performance tuning, cost optimization, and governance reviews for GCP environments.
• Stay current with GCP product releases and AI/ML advancements, recommending adoption where impactful.
Professional & Technical Skills:
• Must Have Skills: Proficiency in GCP services — BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API Integration, hands-on experience in Pyspark, SQL, Python for pipeline development.
• Hands-on experience designing and deploying streaming and batch data pipelines on GCP.
• Strong SQL and Python skills for data transformation and pipeline development.
• Experience with Vertex AI Pipelines for orchestrating end-to-end ML workflows.
• Knowledge of IAM, VPC, and GCP security best practices for data platforms.
• Familiarity with CI/CD tooling and infrastructure-as-code (Terraform or Deployment Manager).
• Exposure to dbt or similar transformation frameworks is an advantage.
Additional Information:
• The ideal candidate will have a strong background in cloud data engineering with demonstrable experience delivering GCP-based solutions in consulting or enterprise environments.
• This position is based at PAN India offices.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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- Location & working pattern
Bengaluru
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- Work authorization
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