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Data Architect

Accenture

10 - 13 years

Hyderabad

Posted: 09/11/2025

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Job Description

Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are looking for a highly experienced and technically proficient Generative AI Data Architect (AWS) with deep expertise in data architecture principles, data modeling techniques and methodologies, and enterprise-scale AI/ML systems. The ideal candidate should have 10-13 years of experience in designing and managing complex data platforms, with a strong foundation as a Data Modeler. This role will lead architectural decisions for Gen AI and LLM-based systems, ensuring the data layer is optimized for performance, scalability, and AI integration. Roles & Responsibilities: 1. Architect scalable and modular data platforms on AWS to support Gen AI, LLMs, and advanced analytics use cases. 2. Lead and own data modeling efforts across conceptual, logical, and physical layers, ensuring models align with AI/ML application needs. 3. Define, implement, and govern data architecture principles, data flow patterns, lineage, and transformation logic. 4. Integrate and manage LLMs, vector databases, and semantic search infrastructure (e.g., RAG pipelines). 5. Translate Gen AI requirements into data architecture designs, leveraging cloud-native patterns and tools. 6. Collaborate with data engineers, ML scientists, and application developers to ensure data infrastructure meets the performance, scalability, and security needs of Gen AI applications. 7. Establish data governance, quality, and metadata management frameworks. 8.Drive data lifecycle management, lineage tracking, and model optimization for both structured and unstructured data assets. 9.Conduct design reviews, build architecture documentation, and advise on Gen AI tool selection and integration strategies. 10.Lead the design and deployment of real-time and batch data pipelines that power Gen AI applications. Professional & Technical Skills: 1. Data Modeling Expertise. 2. Strong command of data modeling techniques including 3NF, dimensional modeling (star/snowflake schemas), data vault, and ontology modeling. 3. Experience using tools like Erwin, ER/Studio, dbt, or SQL Power Architect. 4. Ability to model and optimize data for AI/LLM-ready formats (e.g., text embeddings, vector representations). 5. In-depth knowledge of data lake, Lakehouse, data warehouse, and data mesh architectures. 6. Experience designing end-to-end data platforms for AI/ML workloads using AWS native tools. 7. Gen AI & LLMs:Practical experience integrating LLMs (e.g., OpenAI, Cohere, Hugging Face, Bedrock) into applications. 8. Proficiency in vector databases (e.g., FAISS, Pinecone, Weaviate) and building RAG (Retrieval-Augmented Generation) architectures. 9. Familiar with prompt engineering, embedding models, and LLM orchestration frameworks (e.g., Lang Chain). 10. Cloud & Infrastructure: Advanced experience with AWS services: S3, Redshift, Glue, Lake Formation, Athena, Lambda, SageMaker, Bedrock. 11. Proficient in Terraform or CloudFormation for infrastructure provisioning. 12. Data Engineering: Experience with ETL/ELT pipelines, streaming (Kafka, Kinesis), batch processing (Spark, Glue). 13. Strong hands-on skills in SQL, Python, PySpark, and API integrations. 14. Governance & Security: Deep understanding of data governance, lineage, data cataloging (e.g., AWS Glue Catalog, Amundsen), and compliance (GDPR, HIPAA). 15. Familiarity with role-based access, IAM, encryption (KMS), and secure data architectures. 16. Architecture Frameworks: Knowledge of TOGAF, Zachman, or enterprise architecture best practices. Additional Information: Experience: 10 to 13 years of experience in data architecture, data modeling, and enterprise-scale AI/ML projects Education: Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related fields.

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.

About Company

Accenture is a global professional services company specializing in consulting, technology, and outsourcing services. Headquartered in Dublin, Ireland, Accenture provides a wide range of services in strategy, digital, technology, operations, and consulting. It helps organizations improve their performance and create sustainable value by leveraging technology and industry expertise. Accenture works across various sectors, including financial services, healthcare, telecommunications, energy, and more. Known for its deep focus on innovation, Accenture partners with leading technology companies to drive digital transformation and help clients navigate complex challenges in an increasingly digital world.

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