Data Architecture Associate Manager

Accenture in India

Bengaluru

On-site

INR 4,000,000 - 6,400,000

Full time

14 days+

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Job summary

Accenture in India is seeking an experienced Data & AI Solutions Architect to design enterprise-scale data and AI platforms on Azure and Google Cloud. You will lead backend development, API design, and advanced AI initiatives across healthcare, insurance, banking, or supply chain domains.

The role requires hands-on engineering with leadership, architecture governance, and end-to-end delivery of cloud-native data solutions, leveraging modern AI tools and enterprise integration patterns.

Qualifications

10+ years of software engineering and data platform experience.
Strong Python development expertise.
Experience designing RESTful APIs and microservices.
Experience with Azure services (Functions, App Services, Storage, Data Factory, OpenAI) and GCP services (BigQuery, Cloud Functions, Cloud Run).
Proficiency in Docker, Kubernetes and Git-based development.
Experience with Generative AI, LLM integration, RAG and agentic/oc AI frameworks.

Responsibilities

Design scalable cloud-native data and AI platforms on Azure and GCP.
Develop backend services and REST APIs using Python frameworks (FastAPI/Flask).
Architect data platforms leveraging Azure Data Factory, Databricks, BigQuery, and Cloud Storage.
Lead GenAI, RAG, and agentic AI solutions integrating OpenAI/Azure OpenAI or similar LLMs.
Collaborate with stakeholders to translate requirements into scalable technical designs and mentor teams.

Skills

Python development

RESTful APIs

Microservices

Generative AI

LLM integration

LangChain / Semantic Kernel

MLOps

Cloud architecture (Azure/GCP)

Education

BE/BTech

Tools

Docker

Kubernetes

Git

Databricks

Snowflake

BigQuery

Azure DevOps

GitHub Actions

Job description

Skill required: Data Management - Google Cloud SQL

Designation: Data Architecture Associate Manager

Qualifications: BE/BTech

Years of Experience: 10 to 14 years

About Accenture

What would you do?

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 774,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com We are looking for a Senior Data & AI Solutions Associate Manager with strong expertise in designing and developing enterprise-scale data and AI platforms on Azure and GCP. The role combines solution architecture, backend engineering, API development, cloud-native application design, and Generative AI implementation. The ideal candidate should possess hands‑on development experience while being capable of defining enterprise architecture, leading technical teams, and driving end‑to‑end solution delivery.

What are we looking for?

10+ years of software engineering and data platform experience
Strong Python development expertise
Experience designing RESTful APIs and microservices
Azure Services: Azure Functions, App Services, Azure Storage, Azure Data Factory, Azure OpenAI, Azure AI Search, Azure SQL/PostgreSQL, Azure DevOps
GCP Services: BigQuery, Cloud Functions, Cloud Composer, Cloud Run, Cloud Storage
Pub/Sub, SQL and relational databases
Data modeling and ETL/ELT architecture
Experience with Docker and Kubernetes is preferred
Git-based development
Generative AI Skills
LLM application development
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Agentic AI frameworks
LangChain, LangGraph, Semantic Kernel, LlamaIndex (or similar)
Embeddings and vector databases
AI evaluation, guardrails, and observability
MCP, A2A, and AI orchestration concepts are preferred
Snowflake or Databricks
MLOps
Event-driven architecture
Healthcare, Insurance, Banking, or Supply Chain domain experience
ReactJS understanding Roles and Responsibilities:
Design scalable cloud-native data and AI platforms using Azure and GCP
Develop backend services and REST APIs using Python/FastAPI/Flask
Architect enterprise data platforms leveraging Azure Data Factory, Azure Functions, Databricks, BigQuery, Cloud Functions, Cloud Composer, and Cloud Storage
Design and implement GenAI, RAG, and Agentic AI solutions using LLMs
Integrate OpenAI, Azure OpenAI, Gemini, Claude, or similar LLMs into enterprise applications
Design vector database architectures using Pinecone, FAISS, ChromaDB, Azure AI Search, or similar technologies
Build document ingestion pipelines supporting PDF, Office documents, SharePoint, databases, and APIs
Design authentication and authorization using OAuth2, Microsoft Entra ID, Managed Identity, and service principals
Develop scalable microservices and API integrations with enterprise applications
Define CI/CD pipelines using Azure DevOps or GitHub Actions
Optimize cloud cost, scalability, observability, and security
Lead architecture reviews and mentor engineering teams
Collaborate with business stakeholders to translate requirements into technical solutions