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• EAD (OPT/CPT/GC/H4)

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• Corp-Corp

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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 29th Jan 2026

Databricks

Azure

Data Factory

Log Analytics

Synapse

PowerBI

ADLS

Gen2

Python

API

SAFe Agile

Job Summary:

Designs, codes, tests, and implements data movement, dashboarding, and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.
Evaluate architectural options and define the overall architecture of the enterprise Data Lake and Data Warehouse.
Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.
Defines functional and non-functional requirements including performance monitoring, alerting, and code management and ensuring alignment with technology best practices and SLAs.
Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions.
Determines major elements and subsystems and defines interfaces as well as architectural runway.
Mentoring and coaching other members of the Agile and Run team.
Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.
Conducting industry research, facilitating new product and vendor evaluations, and assisting in vendor selection.
Job Qualifications:

Must Haves:
Databricks experience
Experience on Python and API architecture in Azure
9+ years industry experience (business application design, development, implementation, and/or solution architecture)
Understanding of architecture practices and execution for large projects / programs.
Experience building and designing data and analytics on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, and ADLS Gen2.
Experience designing data pipelines, ingestion, storage, prep-train, model and serve using the above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture
Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.
Excellent written and oral communications skills.
Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting
In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements
Preferred knowledge and experience on Python and API architecture in Azure
Any SAFe certification or training.
Experience with multiple, diverse technical configurations, technologies, and processing environments.
Exceptional interpersonal skills, including teamwork, facilitation, and negotiation