Lead data architecture and delivery for cloud-based big data and analytical solutions using Azure Databricks. Design medallion and Lambda architectures, Delta Lake implementations, ingestion pipelines, governance solutions, and OLTP/OLAP workloads. Guide client architecture discussions, technology design meetings, and delivery teams. Apply Databricks GenAI, LLM, prompt engineering, and agentic AI capabilities while ensuring data quality, lifecycle management, scalability, and system performance.
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
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 Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
Similar Jobs
Information Technology
Configure, support, and optimize Oracle Retail Merchandising System applications. Responsibilities include adapting features, managing releases and deployments, troubleshooting issues, monitoring performance, maintaining compatibility, collaborating across teams, making technical decisions, and training junior team members. The role requires subject-matter expertise in Oracle RMS, application configuration, APIs, low-code platforms, and software release management.
Top Skills:
APIsLow-Code PlatformsOracle Retail Merchandising System (Rms)
Information Technology
Lead the design, configuration, development, integration, and deployment of Salesforce Agentforce solutions. Configure agent workflows, prompts, intents, and orchestration logic; integrate agents with Salesforce data, Apex, Flows, and external systems; review implementations; resolve performance issues; coordinate dependencies; ensure scalability and security; and provide technical guidance and enablement to teams and stakeholders.
Top Skills:
AgentforceAgentforce VibesAgileApexLightning Web ComponentsRestSalesforceSalesforce FlowsScrumSoap
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Manages inbound supply chains across suppliers, Ericsson sites, and contract manufacturers. Ensures material availability, inventory control, demand and supply plan execution, supplier performance, purchase agreement compliance, purchase orders, shipment tracking, risk prediction, corrective actions, and excess management. Coordinates globally and regionally with R&D, production, sourcing, and other hubs to maintain customer service levels and optimize supply chain resources.
Top Skills:
ExcelIntegrated Business Planning (Ibp)Power BISAP
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
