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 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:

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 (in area of expertise)
Worked in implementation of Databricks Gen AI/Agentic AI use case
Knowledge in LLM and Prompt engineering, AI foundry
Candidate should have worked in Data governance Solution
Analyze and assess the impact of the requirements on the data and its lifecycle
Lead Big data architecture and design medium-big Cloud based, Data and Analytical Solutions using Lambda architecture.
Breadth of experience in various client scenarios and situations
Experienced in Big Data Architecture-based sales and delivery
Thought leadership and innovation
Lead creation of new data assets & offerings
Experience in handling OLTP and OLAP data workloads

Technical Experience:

Experience working in Medallion architecture involving Delta lake house principles
Expert level in Designing and Architect solutions in Azure Databricks, Azure Data lake, Delta Lake implementation.
Experience in Databricks GenAI Implementation
Experience in Azure purview/Profisee/Unity Catalog
Well versed in Real time and batch streaming concepts and experience in its implementation
Expert level experience in Azure cloud technologies like PySpark, Databricks, Python, Scala and SQL.
Exp in one or more Real-time/batch ingestion including: Azure Delta live tables , Autoloader
Exp in handling medium to large Big Data implementations
Strong understanding of data strategy. Data Quality and Delta lake components
For Level 8 - Candidate must have 10-12 years of IT experience and around 5 years of extensive Big data experience (design + build) in Databricks
For Level 9 - Candidate must have 7-10 years of IT experience and around 5 years of Big data experience (design + build) in Databricks
Architect for a medium sized client delivery project

Professional Experience:

Should be able to drive the technology design meetings, propose technology design and architecture
Should have excellent client communication skills
Should have good analytical and problem-solving skills

Educational Qualification:

Must have: BE/BTech/MCA
Good to have: ME/MTech