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Data Engineer Architect information
See salary details
$46K - $64K
1% of jobs
$64K - $81.9K
2% of jobs
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
$46K
$165K
$243.5K
How much do data engineer architect jobs pay per year?
What are the key skills and qualifications needed to thrive as a Data Engineer Architect, and why are they important?
How does a Data Engineer Architect typically collaborate with data scientists and business analysts on large-scale projects?
What is a Data Engineer Architect?
What is the difference between Data Engineer Architect vs Data Engineer?
| Aspect | Data Engineer Architect | Data Engineer |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, certifications like AWS, GCP, or Azure | Bachelor's in CS, certifications like AWS, GCP, or Azure |
| Work Environment | Designs data infrastructure, collaborates with architects and stakeholders | Builds and maintains data pipelines, works with data storage and processing |
| Employer & Industry Usage | Used in organizations with complex data architecture needs | Common across industries for data processing tasks |
The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

Other
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Job description
Location: Titusville, NJ (Onsite)
Architecture & Design
Design and maintain end-to-end data architecture leveraging Snowflake as the cloud data warehouse
Define data modeling standards (dimensional, hybrid, Data Vault, semantic layers)
Architect scalable, cost-efficient Snowflake environments (databases, schemas, warehouses)
Establish strategies for data ingestion, transformation, and consumption
Review and approve technical designs and data pipelines
Data Modelling Design Pipelines using CoCo
Generate AI Insights using Cortex AI
DBT Development & Governance
Lead implementation using Datacoves
Design and enforce dbt project structure, naming conventions, and folder standards
Develop robust dbt models, macros, snapshots, and seeds
Implement and maintain dbt tests (freshness, generic, custom)
Enable auto-generated documentation and data lineage using dbt docs
Establish CI/CD practices for dbt deployments
Data Engineering & Optimization
Optimize Snowflake performance using: Clustering & micro-partitioning
Query optimization
Warehouse sizing and scaling
Monitor and control Snowflake cost usage
Collaborate with ingestion tools
Implement ELT best practices
Security, Compliance & Reliability
Implement Snowflake security controls (RBAC, masking policies, row-level security)
Ensure adherence to data governance, compliance, and privacy standards
Design data quality frameworks and SLAs
Enable auditability and observability across the data platform
Leadership & Collaboration
Act as a technical advisor to data engineers and analytics teams
Mentor junior engineers and analysts
Translate business requirements into scalable technical solutions
Partner with stakeholders to define KPIs and semantic layers
Contribute to platform roadmaps and architecture decisions
Required Qualifications
8+ years of experience in data engineering or analytics engineering
8+ years of hands-on Snowflake architecture experience
6+ years of dbt (Core or Cloud) experience in production environments
Strong SQL expertise (advanced transformations and performance tuning)
Deep understanding of ELT architectures
Experience with cloud platforms (AWS, Azure, or GCP)
Proficiency with Git-based version control and CI/CD pipelines
Experience with data modeling methodologies
About Diverse Lynx
Sourced by ZipRecruiter
Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Princeton, NJ, US
Year founded
2002