Accenture

Accenture

Posted via Workday

Data Architect

Posted Sep 21, 2026

Role at a glance

Job function
AI & Data Data Engineering
Salary
Not Disclosed
Location
Mumbai
Work arrangement
On-site
Employment
Full-time

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Data Architect defines application data requirements and structures, including data modeling, storage, lifecycle, and integration. The role supports Fabric-based Big Data and analytical solutions, collaborates with client architects and stakeholders, and contributes to data assets and architecture for project delivery.

What You'll Do

  • Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposal
  • Discuss specific Big data architecture and related issues with client architect/team
  • Analyze and assess the impact of the requirements on the data and its lifecycle
  • Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture
  • Lead creation of new data assets & offerings
  • Drive technology design meetings and propose technology design and architecture

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

View full posting

Qualifications

Microsoft Fabric; experience in Fabric Lakehouse and Warehouse; Big Data architecture and design; Azure technologies; Python; LLM and Open AI Foundry; data governance; OLTP and OLAP workloads; client communication, analytical and problem-solving skills.

Required

  • Microsoft Fabric
  • Experience in Fabric Lakehouse and Warehouse, including Shortcuts and Copilots
  • Big Data architecture and design for Cloud-based, Big Data and Analytical Solutions using Lambda architecture
  • Experience in Azure is preferred with hands-on experience in two or more of these skills: Azure Fabric, Azure Synapse Analytics, Azure...
  • Experience in one or more Real-time/Streaming technologies including Azure Stream Analytics, Azure Data Explorer, Azure Time Series...
  • Deep knowledge in Python, LLM & Open AI Foundry
  • Experience handling medium to large Big Data implementations
  • Experience in SaaS and PaaS Offerings of Fabric

Preferred

  • ME/MTech
  • Good to have exposure or experience in Data science and Real time analytics
  • Github Copilot experience

Original job description

Content provided by the employer

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 : Microsoft Fabric
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Architect, a typical day involves defining the data requirements and designing the structure necessary for the application. This role includes modeling the data architecture, planning how data will be stored efficiently, and ensuring seamless integration across various components. The position requires a thoughtful approach to organizing data to support application functionality and scalability, collaborating with different stakeholders to align data strategies with project goals, and continuously refining data models to meet evolving needs.

Key Responsibilities:
1. Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposal
2. Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)
3. Experience in SaaS and PaaS Offerings of Fabric
4. Worked in implementation of Gen AI/Agentic AI use case in Fabric
5. Knowledge in LLM and Prompt engineering, AI foundry
6. Should have worked in Data governance Solution
7. Analyze and assess the impact of the requirements on the data and its lifecycle
8. Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.
9. Breadth of experience in various client scenarios and situations
10. Experienced in Big Data Architecture-based sales and delivery
11. Thought leadership and innovation
12. Lead creation of new data assets & offerings
13. Experience in handling OLTP and OLAP data workloads

Technical Experience:
1. Strong Experience working in Fabric Lakehouse and Warehouse working on Shortcuts and Copilots..
2. Good to have exposure or experience in Data science and Real time analytics .
3. Strong experience in Azure is preferred with hands-on experience in two or more of these skills : Azure Fabric, Azure Synapse Analytics, Azure Databricks with PySpark / Scala / SparkSQL, Purview / Unity catalog .
4. Exp in one or more Real-time/Streaming technologies including: Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.
5. Candidate should have deep knowledge in Python, LLM & Open AI Foundry
6. Github Copilot experience is an added advantage
7. Exp in handling medium to large Big Data implementations
8. Candidate must have 10-12 years of IT experience and around 5 years of extensive Big data experience (design + build)
9. Architect for a medium sized client delivery project

Professional Experience:
1. Should be able to drive the technology design meetings, propose technology design and architecture
2. Should have excellent client communication skills
3. Should have good analytical and problem-solving skills

Educational Qualification:
1. Must have: BE/BTech/MCA
2. Good to have: ME/MTech

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.