Data Architect

Quantum Technologies LLC; Raritan (NJ); On-site; USD 84,000 - 120,000; Part time

Job summary

Quantum Technologies LLC in Raritan, NJ seeks a Data Architect for an 8-month+ engagement. The role demands 7+ years in data engineering and platform leadership, with hands-on work on Databricks and AWS lakehouse components.

You will drive data architecture, CI/CD, and IaC, coordinating with offshore teams and executive stakeholders. Bachelor’s degree required; Master’s preferred; US work authorization required.

Qualifications

• 7+ years in data engineering, data platforms or cloud engineering with leadership experience.
• Proven delivery of enterprise lakehouse platforms on Databricks and AWS.
• Hands-on depth in Spark, SQL, Python, streaming and data modeling.
• Experience with AI/ML platforms, MLOps and model serving is a plus.
• Strong DevSecOps, CI/CD, IaC (Terraform) and SRE practices.

Responsibilities

• Lead platform engineering teams, including offshore groups.
• Review designs and code for data lakehouse solutions.
• Translate business needs into scalable data architectures and budgets.
• Engage with VP and C-level stakeholders to influence strategy.

Skills

Data engineering

Cloud engineering

Spark

SQL

Python

Databricks

AWS

Airflow

Databricks Workflows

MLOps

Terraform

CI/CD

SRE practices

Leadership

Stakeholder communication

Education

Bachelor's degree in Computer Science/Engineering

Master's degree (preferred)

Tools

Databricks

AWS (S3, Glue, MSK, IAM, Lake Formation)

Unity Catalog

Airflow

Terraform

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.