Hiring for Multiple Positions – Sr. .NET Developer, Data Architect/Databricks Architect

Hello Everyone,

Please share suitable profiles.

Don’t call me, Once I review the profile will give you a call.

Position: 1

Role: Sr. .Net Developer
Location: Chicago, IL (Hybrid) – Need Local Only

Client: JPMC 

Must be USC or GC

Job Description:
Minimum 15+ years of experience, We will prioritize more Sr candidates
Must have financial services / banking experience
2-3 rounds of interview
Senior ASP.NET C# Developer with experience in Financial Services / Banking / Capital Markets candidate needs.

Requirements:
15+ years of experience with Software Development using Microsoft technologies
MUST HAVE experience in Financial Services / Banking / Capital Markets
Expert in  .NET Core, C#, and ASP.NET MVC/Web API
3+ years of experience with AWS
Proficiency in database design and development with SQL Server and NoSQL databases (Cosmos DB, MongoDB preferred)
Knowledge of DevOps practices, including CI/CD pipelines and infrastructure as code (IaC) using ARM templates.
Knowledge of Entity Framework
Experience with containers (Docker and Kubernetes)
Familiarity/experience with Messaging and event handling
Experience of working in an Agile environment is an advantage
BS in Computer Science, Computer Engineering or similar

Position: 2

Role: Data Architect/Databricks Architect
Location: Seattle, WA (Hybrid) – Need Local only

Visa: USC, GC, GC EAD and H4 EAD

Job Description:
We are looking for Databricks architects – more solutioning experience, than just architecture. High viz role.

Notes: this is NOT just senior Data Engineers; this is for an Architect, strategic stakeholder leader. Brand ambassador, visionary, perfect communicator and enthusiastic personality.

In addition to the data engineering execution, needs abilities in solution architecture, informing technical architecture, Databricks experience, providing a point of view on best practices in databricks, ETL, etc.
Collaborate with stakeholders to define data engineering requirements, success metrics, and alignment with organizational objectives.
Design, develop, and deploy scalable, efficient, and robust data pipelines to support analytics, reporting, and AI applications.
Create reusable frameworks and components to streamline data pipeline development and optimize workflows across multiple products.
Shape technical direction and architectural decisions by providing expertise across teams, ensuring scalability and maintainability of data solutions.
Work closely with DevOps, MLOps, and DataOps teams to ensure seamless integration of data solutions into operational environments.
Regularly evaluate the performance of data pipelines, databases, and storage systems to identify areas for optimization and cost-efficiency.
Refine and evolve data infrastructure to adapt to changing business requirements, ensuring reliability and efficiency.
Mentor and coach junior team members, promoting technical growth and fostering a collaborative and innovative team culture.
Facilitate knowledge sharing and drive the adoption of best practices for ETL development, coding standards, and data engineering workflows.

Research and integrate cutting-edge tools, technologies, and methodologies to continuously advance the organization's data engineering capabilities.