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.

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