Data Architect
Talentmatics, Newark, NJ, United States
We’re Hiring: Data Architect | Enterprise Data & AI Solutions
Make sure to apply with all the requested information, as laid out in the job overview below.
Location: Newark, NJ (Hybrid)
2–3 days Work from Office | 2–3 days Work from Home
We are looking for an experienced
Data Architect
to design and lead high-performance data ecosystems that transform raw data into AI-ready assets. This is a strategic leadership role focused on scalable architecture, analytics enablement, and next-generation AI integration.
Key Responsibilities:
• Define end-to-end enterprise data architecture strategy aligned with business goals
• Design conceptual, logical, and physical data models for analytics and reporting
• Build scalable Lakehouse architectures using Bronze, Silver, and Gold layers
• Establish governance standards for metadata, security, and master data management
• Enable AI-ready platforms supporting LLMs, Vector Databases, and RAG pipelines
• Collaborate with engineers, analysts, and business stakeholders on technical roadmaps
Required Expertise:
• 8+ years in Data Architecture / Senior Data Engineering
• Strong data modeling experience: 3NF, Star xywuqvp Schema, Snowflake, Data Vault 2.0
• Expertise in reverse engineering legacy databases and modernization
• Hands-on with ER/Studio, Erwin, Lucidchart or similar tools
• Experience with Azure Fabric / Synapse, AWS Redshift / Glue, Snowflake
• Strong SQL knowledge (PostgreSQL, SQL Server) and NoSQL databases
• Exposure to Vector Databases such as Pinecone or Milvus
Make sure to apply with all the requested information, as laid out in the job overview below.
Location: Newark, NJ (Hybrid)
2–3 days Work from Office | 2–3 days Work from Home
We are looking for an experienced
Data Architect
to design and lead high-performance data ecosystems that transform raw data into AI-ready assets. This is a strategic leadership role focused on scalable architecture, analytics enablement, and next-generation AI integration.
Key Responsibilities:
• Define end-to-end enterprise data architecture strategy aligned with business goals
• Design conceptual, logical, and physical data models for analytics and reporting
• Build scalable Lakehouse architectures using Bronze, Silver, and Gold layers
• Establish governance standards for metadata, security, and master data management
• Enable AI-ready platforms supporting LLMs, Vector Databases, and RAG pipelines
• Collaborate with engineers, analysts, and business stakeholders on technical roadmaps
Required Expertise:
• 8+ years in Data Architecture / Senior Data Engineering
• Strong data modeling experience: 3NF, Star xywuqvp Schema, Snowflake, Data Vault 2.0
• Expertise in reverse engineering legacy databases and modernization
• Hands-on with ER/Studio, Erwin, Lucidchart or similar tools
• Experience with Azure Fabric / Synapse, AWS Redshift / Glue, Snowflake
• Strong SQL knowledge (PostgreSQL, SQL Server) and NoSQL databases
• Exposure to Vector Databases such as Pinecone or Milvus