Data Architect

Robotics Technologies; Raritan (NJ); On-site; USD 87,000 - 117,000; Full time

Job summary

Robotics Technologies LLC in Raritan, NJ is seeking a Data Architect to design and lead enterprise data lakehouse initiatives on Databricks and AWS. The role requires 7+ years in data engineering and a proven track record leading platform teams.

You will guide data models, governance, and CI/CD for reliable data services, communicating with VP/C-level stakeholders and coordinating with offshore teams. Master’s degree is preferred.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• 7+ years in data engineering, data platforms or cloud engineering.
• Proven delivery of enterprise lakehouse platforms on Databricks and AWS, incl. Unity Catalog.
• Hands-on depth in Spark, SQL, Python, streaming, orchestration (Airflow) and data modeling.
• Experience running production AI/ML platforms, including MLOps.
• Strong DevSecOps, CI/CD, Terraform and SRE practices, incl. FinOps.
• Track record of consolidating or migrating legacy platforms at scale.
• Experience leading distributed and offshore teams and managing budgets.
• Ability to communicate with VP and C-level stakeholders.

Responsibilities

• Design and lead enterprise data lakehouse initiatives on Databricks and AWS.
• Mentor and manage platform engineering teams, including offshore members.
• Define data models, governance, and security policies across data products.
• Collaborate with product and engineering to deliver reliable data services.
• Drive cost optimization and reliability improvements across platforms.
• Review designs and code for quality and scalability.
• Lead vendor management and budget planning for data platforms.
• Communicate progress to executive stakeholders and clients.

Skills

Leadership of platform engineering

Stakeholder communication

Data governance

Cloud data architecture

Cost optimization

DevSecOps

SRE practices

MLOps basics

Team mentoring

Education

Bachelor’s degree in Computer Science/Engineering

Master’s degree (preferred)

Tools

Spark

SQL

Python

Airflow

Databricks

AWS

Terraform

Unity Catalog

S3

Glue

MSK

IAM

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Architect

Location: Raritan, NJ

Duration: 8 Months + Extension

Bill Rate: $74/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• Bachelor’s degree in Computer Science, Engineering or a related technical field.
• 7+ years in data engineering, data platforms or cloud engineering, including 7+ years leading platform engineering teams and experience leading managers.
• Proven delivery of enterprise lakehouse platforms on Databricks and AWS (e.g., S3, Glue, MSK, IAM, Lake Formation), including Unity Catalog.
• Hands‑on depth in Spark, SQL, Python, streaming, orchestration (e.g., Airflow, Databricks Workflows) and data modeling, with the ability to review designs and code.
• Experience running production AI/ML platforms, including model serving, RAG/retrieval, LLMOps/MLOps and evaluation.
• Strong DevSecOps, CI/CD, Infrastructure-as-Code (e.g., Terraform) and SRE practices, including FinOps.
• Track record of consolidating or migrating legacy platforms at scale with measurable cost and reliability gains.
• Experience leading distributed and offshore teams, and managing platform budgets and vendors.
• Demonstrated ability to communicate with and influence VP and C‑level stakeholders.

Preferred:

• Master’s degree in computer science, Engineering or a related field.
• Experience with semantic layers, data products and data marketplaces.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.