Data Architect

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

Job summary

Ethereum Technologies in New Jersey seeks a Data Architect to design and lead enterprise data platforms. You will drive Databricks/AWS lakehouse implementations, manage CI/CD and SRE practices, and coordinate with offshore teams and executive stakeholders.

You should have 7+ years in data engineering and a track record delivering large-scale data lakehouse solutions, with hands-on Spark, SQL, Python, and data modeling expertise.

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• 7+ years in data engineering, data platforms or cloud engineering.
• Proven delivery of enterprise lakehouse platforms on Databricks and AWS, including Unity Catalog.
• Hands‑on depth in Spark, SQL, Python, streaming, orchestration and data modeling.
• Experience running production AI/ML platforms and MLOps practices.
• Strong DevSecOps, CI/CD, IaC (Terraform) and SRE practices.
• Track record of consolidating or migrating legacy platforms at scale.

Responsibilities

• Lead the design and delivery of enterprise data lakehouse platforms on Databricks/AWS.
• Collaborate with VP/C-level stakeholders to shape data strategy and governance.
• Oversee CI/CD, IaC, and SRE practices for data platforms and budgets.
• Coordinate distributed and offshore teams across geographies.
• Review designs and code for data pipelines and analytics workloads.

Skills

Data architecture

Leadership

Data engineering

Cloud platforms

Stakeholder communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks

AWS

S3

Airflow

Terraform

Unity Catalog

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.