Data Architect - Woodbridge Township, NJ

Note: Only considering nearby/local candidates — face-to-face interviews required.

• W2 Candidates only (minimum visa/work validity of 12 months)

We are seeking a highly experienced Data Architect to join our team in Woodbridge Township, NJ. This role is ideal for a senior-level architect with deep expertise in building innovative, scalable, data-intensive solutions and providing technical leadership across data initiatives. The successful candidate will split their time between leadership responsibilities and hands-on technical delivery.

• • Lead design and implementation of enterprise data solutions for complex, large-scale applications.

  • Work closely with partners in Infosec, Infrastructure, and Operations to establish best practices for data and system integration.

  • Identify, manage, and remediate IT risk and technical debt across projects.

  • Guide and mentor data analysts, engineers, and software teams.

  • Build self-serve solutions leveraging both on-premise and cloud technologies.

  • Drive data sourcing, integration, and architecture from the ground up (Greenfield development).

  Hands-on Responsibilities:

  • Backend and ETL development in batch or on-demand environments.

  • Data analytics and reporting using PowerBI, SAS Viya, Tableau.

  • Cloud-based data solutions including OpenShift Data Foundation (ODF), OpenShift Data Access (ODA), BigQuery, Snowflake, Talend Cloud, Databricks.

  • ETL tools such as Alteryx, Talend, Xceptor, Apache Camel, Kafka Streams.

  • Data virtualization with tools like Dremio, BigQuery Omni, Red Hat Virtualization.

  • Integration using REST APIs, Apigee, Kafka, JSON.

  • Data governance: data modeling, metadata management, data lineage, data dictionary.

  • Database management: MS SQL, MySQL, PostgreSQL, MongoDB, Teradata, Apache Spark and deployment tools like Liquibase.

  • Development with Java 8+, Spring Framework, Spring Boot, and Microservices.

  • Containerization and orchestration using Docker, Kubernetes, OpenShift.

  • Cloud providers experience: OpenShift (OCP), GCP, Azure.

  • CI/CD tools: Jenkins, Harness, UCD, GitHub, Maven, Gradle.

  • DevSecOps tools: SonarQube, GitLab, Checkmarx, Black Duck.

  • Logging and monitoring tools: ELK Stack, Splunk, AppDynamics.

  • Scripting: Python, Bash, Shell.

  • Test automation: Jasmine, Karma, Selenium, JUnit, JMeter, RestAssured, Postman.

  • Agile development with Scrum/Kanban, using Jira and Confluence.

  Required Qualifications:

  • 8+ years as a Data Architect with a proven record of leading data-driven enterprise applications.

  • 5+ years in Greenfield projects, leading data integration and establishing best practices.

  • 7+ years in delivering self-serve solutions using both on-prem and cloud tools.

  • Strong background in technical leadership, risk management, and team collaboration.

  • Excellent verbal and written communication skills.

  • Ability to thrive in a fast-paced, Agile environment.

  TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

  🚫 Third-party recruiters, please do not reach out for this role.