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Data Architect

Accenture
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
awsazureazure-data-factorydatabricksgcpgit

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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.

Qualifications

  • AI & Machine Learning
  • Generative AI, LLMs (Azure OpenAI, OpenAI, Anthropic, etc.)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Machine Learning Model Development and Deployment
  • MLOps Practices
  • Data Architecture
  • Data Modeling (Conceptual, Logical, Physical)
  • Data Warehousing and Data Lakes
  • Data Governance and Metadata Management
  • Master Data Management (MDM)
  • ETL/ELT Design Patterns
  • Cloud Technologies
  • o Azure Data Factory
  • o Azure Databricks
  • o Azure Synapse Analytics
  • o Azure Data Lake Storage
  • o Azure OpenAI
  • o Azure AI Services
  • Development & Programming
  • Python
  • SQL
  • PySpark
  • REST APIs
  • Git, CI/CD Pipelines
  • 8+ years of experience in Data Engineering, Data Architecture, or AI Solution Development.
  • 3+ years of experience in AI/ML architecture and implementation.
  • Experience working in enterprise-scale cloud environments.
  • Hands-on experience with Databricks, Azure AI Services, and Large Language Models.
  • Experience implementing AI governance, security, and compliance controls.
  • 15 years full time education

Preferred Qualifications

  • Microsoft Azure (Preferred)
  • Experience with AWS or GCP is an added advantage.
  • Infrastructure as Code (Terraform/Bicep preferred)
  • Preferred Experience
  • Preferred

Responsibilities

  • Architect and develop agentic solutions using cloud-native technologies.
  • Design and implement end-to-end AI and data architecture solutions aligned with business requirements.
  • Define enterprise data models, data pipelines, data governance, and data integration frameworks.
  • Architect and develop AI/ML and Generative AI solutions using cloud-native technologies.
  • Collaborate with data engineers, application developers, data scientists, and business stakeholders.
  • Design scalable and secure data platforms supporting structured and unstructured data.
  • Establish best practices for data quality, lineage, security, privacy, and compliance.
  • Develop and optimize data ingestion, transformation, and processing frameworks.
  • Support deployment, monitoring, and maintenance of AI and machine learning solutions.
  • Drive innovation by evaluating emerging AI technologies and industry best practices.
  • Provide technical leadership, architecture reviews, and mentoring to development teams.

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