Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
50% Travel
Able to Provide Sponsorship
Skills
Agile
Amazon Web Services
Analytics
Cloud Computing
Continuous Delivery
Continuous Integration
Data Architecture
Data Engineering
Data Governance
Data Modeling
Data Quality
Databricks
GitHub
Meta-data Management
Python
SQL
Semantics
Unity
Workflow
Data Architect
modern data architecture
analytics engineering
cloud-native data platforms.
data platforms
dbt Cloud
AWS
Delta Lake
Unity Catalog
CI/CD pipelines
data quality checks
GitHub Actions
dbt Cloud jobs
AWS certifications
Job Details
Data Architect
- Job Title: Data Architect
- Location: Hybrid in NYC, NY or Clinton, NJ (3 days onsite)
- Notes: This is a local-only position for candidates in NJ or NYC.
Job Summary
We are seeking a Data Architect to join a high-priority, hybrid role in NYC or Clinton, NJ. The ideal candidate has hands-on experience in modern data architecture, analytics engineering, and cloud-native data platforms. You will be responsible for designing and implementing scalable data pipelines using dbt Cloud, Databricks, and AWS. This role requires a professional with a product mindset, who can bridge data modeling, transformation, and platform operations.
Key Responsibilities
- Design and implement scalable analytics engineering pipelines using dbt Cloud.
- Support the design of data workflows on Databricks using Delta Lake and Unity Catalog.
- Partner with Data Product teams to translate business needs into data models and semantic layers.
- Implement data quality checks and CI/CD pipelines.
- Document lineage, metadata, and access patterns to ensure data governance and discoverability.
Required Skills & Experience
- 5+ years of experience in data architecture, analytics engineering, or data engineering roles (client specifies 12+ years overall experience).
- Practical experience building transformation pipelines using dbt Cloud.
- Hands-on experience with Databricks and AWS.
- Strong proficiency in SQL, with familiarity using Python in data workflows.
- Solid understanding of data modeling principles and data quality techniques.
- Experience with agile delivery practices and CI/CD pipelines using tools like GitHub Actions or dbt Cloud jobs.
- dbt, Databricks, or AWS certifications are a huge plus.
Aditya Jain
Email: Direct: EXT: 482
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