Accenture

Accenture

Posted via Workday

Cloud Platform Engineer

Posted Sep 17, 2026

Role at a glance

Job function
AI & Data Data Engineering
Salary
Not Disclosed
Location
Mumbai
Work arrangement
On-site
Employment
Full-time
Experience
Data Engineering experience 10+ yrs
Education
15 years full time education

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Role Summary

AI-generated

The Senior Data Engineer will design, develop, and optimize enterprise-scale data solutions on Google Cloud Platform. The role supports data initiatives through scalable data pipelines, models, security, governance, and collaboration with cross-functional teams.

What You'll Do

  • Act as a Subject Matter Expert in Google BigQuery and related GCP services.
  • Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
  • Develop and implement batch and streaming data integration pipelines using Apache Beam, Google Dataflow, Google Cloud Functions, and...
  • Build and optimize semantic models and layers such as LookerML or Power BI for data visualization with KPIs and metrics.
  • Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and slowly changing...
  • Monitor and optimize data pipelines for performance, cost efficiency, and scalability.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Google BigQuery; 3-5 years of hands-on experience with Google BigQuery and GCP services; SQL development; data modeling and optimization; data warehousing; batch and streaming data pipelines; data security practices including IAM, encryption, and tokenization; application performance troubleshooting; mentoring and leading teams.

Required

  • Google BigQuery
  • SQL development, data modeling, and optimization techniques
  • Data warehousing concepts and medallion architecture
  • Batch and streaming data pipelines
  • IAM, encryption, and tokenization
  • Application performance troubleshooting
  • Mentoring and leading teams

Preferred

  • Python (Programming Language)
  • GCP Dataflow

Original job description

Content provided by the employer

Project Role : Cloud Platform Engineer
Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills : Google BigQuery
Good to have skills : Python (Programming Language), GCP Dataflow
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are seeking a highly skilled and experienced Senior Data Engineer to join our global agile team. In this role, you will design, develop, and optimize data solutions on Google Cloud Platform (GCP) to support enterprise-scale data initiatives. You will work closely with cross-functional teams to translate business requirements into robust, scalable, and secure data pipelines and models. This is an exciting opportunity to contribute to cutting-edge data engineering practices while mentoring junior team members and driving innovation in data solutions.
Key Responsibilities:
Act as a Subject Matter Expert (SME) in Google BigQuery and related GCP services.
Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
Develop and implement data integration pipelines for batch and streaming data using tools like Apache Beam (Google Dataflow), Google Cloud Functions, and Google Workflows.
Build and optimize semantic models and layers, such as LookerML or Power BI, to enable data visualization with KPIs and metrics.
Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and handling of slowly changing dimensions (Type I & II).
Ensure data quality, security, and governance by implementing best practices in IAM, encryption, tokenization, and native security features like row-level and column-level security in Google BigQuery.
Monitor and optimize data pipelines for performance, cost efficiency, and scalability.
Mentor and guide junior team members to enhance their technical skills and knowledge.
Stay updated with emerging technologies and evaluate their potential to improve data engineering practices.

Required Skills and Experience:
Data Engineering experience 10+ yrs
Minimum 3-5 years of hands-on experience with Google BigQuery and GCP services.
Strong expertise in SQL development, data modeling, and optimization techniques.
In-depth understanding of data warehousing concepts, medallion architecture, and best practices.
Experience in building and managing data pipelines for batch and streaming data.
Familiarity with tools like Google Composer, Google Dataplex, Google AutoDQ, Google Pub/Sub, Google Storage, and Google Looker Studio.
Strong understanding of data security practices, including IAM, encryption, and tokenization.
Proven ability to troubleshoot and optimize application performance.
Excellent problem-solving skills and ability to provide innovative solutions.
Proven experience in mentoring and leading teams.

Additional Information:
This position is based in our Mumbai office.
A full-time education of 15 years is required.
We are looking for candidates who are passionate about data engineering and have a proven track record of delivering high-quality, scalable data solutions.

15 years full time education

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.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.