Accenture

Accenture

Posted via Workday

Packaged/SaaS Application Engineer

Posted Sep 21, 2026

Role at a glance

Job function
AI & Data Data Engineering AI Solutions Architecture
Salary
Not Disclosed
Location
Pune
Work arrangement
On-site
Employment
Full-time
Experience
Candidate must have 10-12 years of IT experience and around 5 years of extensive Big data experience (design + build) in Databricks
Education
15 years full time education

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Role Summary

AI-generated

The Data Architect will define data requirements and design data structures and architectures for cloud-based data and analytical solutions. The role supports Databricks and big data initiatives, data governance, and the creation of data assets and offerings while aligning data strategies with project goals.

What You'll Do

  • Lead data architecture for projects and proposals and architect medium-sized client delivery projects.
  • Discuss big data architecture and related issues with client architects and teams.
  • Analyze and assess the impact of requirements on data and its lifecycle.
  • Lead the architecture and design of cloud-based data and analytical solutions using Lambda architecture.
  • Drive technology design meetings and propose technology designs and architectures.
  • Lead the creation of new data assets and offerings.

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

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Qualifications

Must have Microsoft Azure Databricks experience; experience designing Azure Databricks, Azure Data Lake, and Delta Lake solutions; Databricks GenAI implementation experience; experience with data governance solutions; knowledge of LLM and prompt engineering; experience with real-time and batch streaming, PySpark, Python, Scala, SQL, Delta Live Tables, and Autoloader; strong client communication, analytical, and problem-solving skills; BE/BTech/MCA required.

Required

  • Microsoft Azure Databricks
  • Medallion architecture involving Delta lake house principles
  • Azure Databricks, Azure Data Lake, and Delta Lake implementation
  • Databricks GenAI implementation
  • Data governance solution
  • LLM and Prompt engineering
  • Real-time and batch streaming implementation
  • PySpark

Preferred

  • ME/MTech

Original job description

Content provided by the employer

Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Microsoft Azure Databricks
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:
A. Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposal
B. Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)
C. Worked in implementation of Databricks Gen AI/Agentic AI use case
D. Knowledge in LLM and Prompt engineering, AI foundry
E. Candidate should have worked in Data governance Solution
F. Analyze and assess the impact of the requirements on the data and its lifecycle
G. Lead Big data architecture and design medium-big Cloud based, Data and Analytical Solutions using Lambda architecture.
H. Breadth of experience in various client scenarios and situations
I. Experienced in Big Data Architecture-based sales and delivery
J. Thought leadership and innovation
K. Lead creation of new data assets & offerings
L. Experience in handling OLTP and OLAP data workloads

Technical Experience:
A. Experience working in Medallion architecture involving Delta lake house principles
B. Expert level in Designing and Architect solutions in Azure Databricks, Azure Data lake, Delta Lake implementation.
C. Experience in Databricks GenAI Implementation
D. Experience in Azure purview/Profisee/Unity Catalog
E. Well versed in Real time and batch streaming concepts and experience in its implementation
F. Expert level experience in Azure cloud technologies like PySpark, Databricks, Python, Scala and SQL.
G. Exp in one or more Real-time/batch ingestion including: Azure Delta live tables , Autoloader
H. Exp in handling medium to large Big Data implementations
I. Strong understanding of data strategy. Data Quality and Delta lake components
J. Candidate must have 10-12 years of IT experience and around 5 years of extensive Big data experience (design + build) in Databricks
K. Architect for a medium sized client delivery project

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

Educational Qualification:
A. Must have: BE/BTech/MCA
B. 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.