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# Data Engineering Architect

- **Company:** Genesis10
- **Location:** Jersey City, NJ, United States
- **Salary:** $184,267.0 - $200,907.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Apache HTTP Server, Big Data, Cloud Engineering, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), DevOps, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Cloud Services, SQL Databases, Data Streaming, Parquet, Data Processing, Enterprise Software Applications, Apache Spark, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Apache Kafka, Data Management, Video Streaming, Terraform, Data Pipelines, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/aa34341a-d56f-4774-a3cc-4bc4bbe9d409/data-engineering-architect

## About the Role

* Enterprise Application Architecture experience with strong system design and solution architecture expertise
 * Deep hands-on expertise with Apache Spark and Databricks
 * Proficiency in Python, Scala, and/or Java
 * Experience with Apache Kafka, Apache Iceberg, and Apache Parquet
 * Proven experience with distributed data processing, data pipelines (ETL/ELT), and data lake/lakehouse architecture
 * Experience in Java-based enterprise environments
 * SQL and distributed system architecture experience
 * AWS cloud architecture knowledge
 * Strong communication and leadership skills

Desired skills:

 * Cloud data platforms and cloud-native architectures
 * Experience with APIs and data services
 * Knowledge of Kubernetes or containerized environments
 * Familiarity with Terraform or Infrastructure as Code
 * Experience with CI/CD, DevOps, streaming, and event-driven architectures
 * Experience with large-scale modernization or migration programs
 * Financial services industry experience

## Description

We are seeking a highly experienced Data Engineering Architect to design, architect, and modernize large-scale data processing and engineering solutions within an enterprise environment. This is a hands-on architecture role for a candidate who can balance technical depth with business alignment, transforming high-volume data platforms and enabling the organization to derive actionable insights from billions of data records., * Design and architect high-volume, low-latency, highly resilient data processing platforms

 * Lead the development and modernization of Apache Spark-based data processing ecosystems
 * Architect and implement solutions using Databricks for data processing, transformation, and analytics
 * Design end-to-end data pipelines covering ingestion, transformation, processing, storage, and distribution
 * Work with Apache Kafka and other streaming technologies to build reliable data ingestion pipelines
 * Develop and architect data lake/lakehouse solutions using technologies such as Apache Iceberg and Apache Parquet
 * Evaluate existing data architecture to improve performance, scalability, resiliency, and cost efficiency
 * Partner with application, infrastructure, cloud, and engineering teams to define and implement enterprise data solutions
 * Provide technical leadership and architectural guidance while remaining hands-on with solution design
 * Drive architectural best practices across development and platform teams