Solutions Engineer

job summary:
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I can not work C-C or through a vendor for this role

Primary Skill

Spring boot

Secondary Skill

Python

Tertiary Skill

Data Governance Protection & Data Management

Senior Engineer - Unified Metadata Store (Mainframe & Distributed, Orchestra AI Integration)

We are seeking a results-driven Senior Engineer to lead the hands-on development and delivery of our Unified Metadata Store, unifying metadata from both mainframe and distributed (non-mainframe) systems.

 
location: Pennington, New Jersey
job type: Solutions
salary: $51.59 - 61.59 per hour
work hours: 8am to 5pm
education: Bachelors

responsibilities:

Position Summary:

Senior Engineer - Unified Metadata Store (Mainframe & Distributed, Orchestra AI Integration)

We are seeking a results-driven Senior Engineer to lead the hands-on development and delivery of our Unified Metadata Store, unifying metadata from both mainframe and distributed (non-mainframe) systems. This platform will physically host distributed-side metadata and virtually federate mainframe metadata, providing a single authoritative source for metadata across the enterprise and enabling seamless integration with Orchestra AI.

qualifications:
Required Qualifications:

Qualifications:

- 8+ years of hands-on experience in data engineering, metadata management, or related fields, with expertise in both mainframe and distributed (non-mainframe) environments.

- Proven track record of delivering large-scale metadata repositories, data catalogs, or data virtualization platforms.

- Solid understanding of metadata standards, data governance, and data integration best practices.

- Strong background in cloud-native architectures, data lake/lakehouse platforms, and modern data stack technologies.

- Experience contributing to and understanding architectural strategies for AI/ML integration.

- Excellent problem-solving, communication, and teamwork skills.

Required Skills:

- Strong programming skills in Java (Spring Boot), Python, or equivalent languages

- Experience with metadata management tools (e.g., Collibra, Erwin, or similar)

- Hands-on experience with data virtualization platforms (e.g., Denodo or equivalent)

- API development and interface design (RESTful APIs, OpenAPI/Swagger)

- Cloud platforms (OpenShift or equivalent) and cloud-native data architectures

- Data modeling, metadata standards, and data governance best practices

- Experience integrating with both mainframe and distributed (non-mainframe) systems

- Strong SQL and database skills (relational and NoSQL)

- CI/CD, DevOps, and automated testing practices

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact View email address on randstadusa.com.


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.