Senior Java Spring Boot Architect

TechDigital Group; Jersey City (NJ); On-site; USD 90,000 - 140,000; Full time

Job summary

A forward-thinking company is seeking a seasoned Java Developer with extensive experience in Core Java and Spring technologies. This role involves developing robust applications, implementing best practices in software development, and leveraging tools like JIRA and Jenkins for project management and CI/CD. The ideal candidate will thrive in an Agile environment, showcasing their skills in event-driven architecture and automated testing. Join this innovative team to make a significant impact in delivering high-quality software solutions that drive business success.

Qualifications

• 10+ years of experience in software development with a focus on Java technologies.
• Strong expertise in Spring Boot and event-driven architecture.

Responsibilities

• Develop and maintain Java applications using Core Java and Spring Framework.
• Implement automated testing and continuous integration practices.

Skills

Core Java

Java EE

Spring Framework

JavaScript

SQL

Test Driven Development

Agile Development

Event Driven Architecture

Tools

WebLogic

JUnit

JIRA

Maven

Sonar

GIT

Bitbucket

TeamCity

Jenkins

IntelliJ

Job description

We are seeking a highly skilled and motivated Senior Data & Cloud Engineer to design, develop, modernize, and support enterprise-scale data platforms and reporting solutions. The ideal candidate will have deep expertise in Oracle PL/SQL development, Azure Cloud services, and Microsoft Fabric, with experience in data integration, data warehousing, analytics, and cloud transformation initiatives.
This role will be responsible for migrating, optimizing, and managing data pipelines while ensuring scalability, security, performance, and reliability across the enterprise data ecosystem.

Key Responsibilities
Data Engineering & Development

• Design, develop, and maintain complex Oracle PL/SQL programs, packages, stored procedures, functions, triggers, and performance tuning solutions.
• Analyze existing database solutions and recommend modernization opportunities leveraging Azure and Microsoft Fabric.
• Develop and optimize ETL/ELT processes for large-scale data movement and transformation.
• Build and support enterprise data warehouse and data lake solutions.
• Perform data modeling, data quality management, and metadata management activities.

Microsoft Fabric Responsibilities

• Design and implement Microsoft Fabric solutions including:
  • Fabric Data Factory
  • Lakehouse
  • Data Warehouse
  • OneLake
  • Notebooks
  • Real-Time Analytics
  • Semantic Models
  • Power BI Integration
• Develop data ingestion and transformation pipelines using Fabric.
• Optimize Fabric workloads for performance, scalability, and cost efficiency.
• Implement end-to-end analytics solutions within the Fabric ecosystem.

Azure Cloud Responsibilities

• Design and implement cloud-native data solutions using Azure services.
• Develop solutions utilizing:
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Azure SQL Database
  • Azure Synapse Analytics
  • Azure Functions
  • Azure Key Vault
  • Azure Monitor
  • Azure DevOps
• Support cloud migration initiatives from on-premises Oracle environments to Azure/Fabric platforms.
• Ensure cloud architecture aligns with security, governance, and compliance standards.

Governance

• Implement CI/CD pipelines and DevOps best practices.
• Ensure data security, governance, and regulatory compliance.
• Participate in architecture reviews and technology roadmap planning.

Required Qualifications
Education

• Bachelor's degree in computer science, Information Systems, Engineering, or related field.

Experience

• 8+ years of experience in Data Engineering, Database Development, or Data Warehousing.
• 5+ years of hands-on Oracle PL/SQL development experience.
• 3+ years of experience with Azure Data Platform services.
• 2+ years of experience with Microsoft Fabric implementation and administration.
• Experience supporting enterprise-scale reporting and analytics environments