Java Developer

Saxon Global•Jersey City, NJ

About The Position

The hiring team is seeking a high-caliber Java Developer with deep Java expertise, strong engineering fundamentals, and a proven track record designing and building enterprise-scale distributed systems. The focus is on hands-on Java development and experience with large-scale, distributed, cloud-based systems, data-intensive applications, and platform engineering. The role calls for someone able to operate at a senior technical leadership level and influence architecture decisions. Experience with Spark, Kafka, Databricks, AWS, or similar enterprise data platforms is highly preferred; platform-specific components can be learned by the right engineering talent. The previous description framed the need as a Data Platform Architect responsible for modernizing the enterprise data ecosystem. Responsibilities included defining target-state data platform architecture, leading large-scale migrations from on-premises environments to the cloud, designing secure and resilient architectures for petabyte-scale workloads, and setting architectural standards and engineering practices. The role also involved partnering with infrastructure, security, application, and business teams; evaluating data-platform technologies; mentoring engineering teams; optimizing performance and cost; and advising executive stakeholders on migration roadmaps and modernization strategies.

Requirements

10+ years of hands-on Java development experience.
Strong Java expertise and engineering fundamentals.
Proven track record designing and building enterprise-scale distributed systems.
Experience with large-scale, distributed, and cloud-based systems.
Strong understanding of data-intensive applications and platform engineering.
10+ years of experience in data platform architecture, data engineering, or distributed systems, as stated in the previous description.
Demonstrated experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
Strong experience with Databricks, Apache Spark, Apache Kafka, AMPS, MQ, Hadoop, or other enterprise messaging systems, AWS cloud services, and large-scale data warehouse or lakehouse platforms.
Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
Strong software engineering background, including Java, Python, SQL, or other object-oriented programming languages.
Experience designing highly available, scalable distributed systems.
Strong understanding of data governance, security, compliance, and operational monitoring.
Bachelor's degree.

Nice To Haves

Exposure to Spark, Kafka, Databricks, AWS, or similar enterprise data platforms.
Databricks certification(s).
AWS Solutions Architect certification(s).
Experience implementing lakehouse architectures.
Experience designing streaming and real-time analytics platforms.
Experience within highly regulated financial services or enterprise environments.
Master's degree.

Responsibilities

Design and build enterprise-scale distributed systems using Java.
Influence architecture decisions and provide senior technical leadership.
Define target-state architecture for enterprise data platforms and cloud-native analytics solutions.
Lead migration of large-scale data environments from on-premises platforms to cloud environments.
Design scalable, resilient, and secure data architectures capable of supporting petabyte-scale workloads.
Establish architectural standards, governance frameworks, and engineering best practices.
Partner with infrastructure, security, application, and business teams to align with enterprise cloud strategies.
Evaluate and recommend technologies for data storage, processing, streaming, governance, and observability.
Provide technical leadership and mentorship to engineering teams implementing Spark, Kafka, Databricks, and cloud-native services.
Drive performance optimization, cost management, and operational excellence across the data platform.
Support executive stakeholders with migration roadmaps, risk assessments, and modernization strategies.