Data Architect

Valiant Technologies LLC; Raritan (NJ); On-site; USD 61,000 - 102,000; Full time

Job summary

Valiant Technologies LLC in New Jersey is seeking a Data Architect to design and oversee enterprise data lakehouse platforms. The role requires hands-on expertise with Spark, SQL, Python, and cloud data services on Databricks and AWS, and leadership of platform engineering teams.

You will review designs, guide data modeling, manage offshore teams as needed, and work with VP and C-level stakeholders to align data strategy with business goals. This is an 8-month engagement with extension potential.

Qualifications

• 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, including Unity Catalog.
• Hands-on depth in Spark, SQL, Python, streaming, orchestration (Airflow/Databricks Workflows) and data modeling.
• Experience running production AI/ML platforms, including model serving and MLOps.
• Strong DevSecOps, CI/CD, Terraform and SRE practices, including FinOps.
• Track record of consolidating or migrating legacy platforms at scale with cost/reliability gains.
• Experience leading distributed and offshore teams, and managing platform budgets and vendors.
• Ability to communicate with VP and C-level stakeholders.

Skills

Data engineering

Cloud engineering

Leadership

Databricks

AWS

Spark

SQL

Airflow

MLOps

Education

Bachelor’s degree in Computer Science, Engineering or a related technical field

Tools

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.