Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Google BigQuery
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Cloud platforms. Your typical day will involve leveraging Google Cloud’s data services, implementing GenAI and AI/ML models, and supporting data-driven solutions through efficient architecture and engineering. ________________________________________ Roles & Responsibilities: i. Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc. ii. Build and optimize data architectures to support AI/ML applications and model training at scale. iii. Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines. iv. Develop and manage data integration solutions that align with enterprise data governance and security standards. v. Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines. vi. Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages. vii. Enable self-service analytics by building reusable data assets and data marts for business stakeholders. viii. Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization. ix. Experience with programming languages such as Python, SQL, and optionally Java or Scala. ________________________________________ Professional & Technical Skills: • Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines. • Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications. • Understanding of data modeling, data warehousing, and distributed computing frameworks. • Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows. • Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects. ________________________________________ Additional Information: • The candidate should have a minimum of 7 years of experience in Google Cloud Data Engineering or related domains. • The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives.15 years full time education

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

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.