Matlen Silver
Description
Job title: Sr. Data Architect
Salary: $130k+
Duration: Direct-hire
Location: Sandy Springs, GA
Onsite 5 days / week for 3 months -2-3 days hybrid after that
Project Details We’re looking for a highly skilled and hands‑on Senior Data Architect to lead the design, implementation, and ongoing evolution of enterprise‑grade data systems. This role is ideal for a seasoned technologist who thrives in complex environments and is passionate about building scalable, secure, and intelligent data infrastructure that drives analytics, AI, and operational excellence. In this deeply technical position, you’ll be responsible for architecting and deploying modern data platforms that enable semantic modeling, telemetry pipelines, and agentic AI orchestration. Success in this role requires advanced expertise in data engineering, cloud architecture, and semantic technologies.
Non Negotiables
10+ years of experience in enterprise data architecture and engineering.
Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview.
Strong proficiency in Python, Spark, and semantic modeling tools.
Hands‑on experience with ontology like OWL, RDF, SPARQL, or equivalent technologies.
Deep understanding of data lineage, data catalogs, and knowledge graph development.
Experience designing scalable data systems for analytics, AI, and operational workflows.
Negotiables
Certifications in cloud architecture (Azure, AWS), data modeling, or semantic technologies.
Experience in regulated industries such as AgTech, FoodTech, Pharma and Healthcare.
Exposure to controlled vocabularies, taxonomies, and linked data ecosystems.
Background in high‑growth SaaS environments or transformation‑stage enterprises.
Experience with agentic AI frameworks, vector databases, and semantic telemetry.
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Job title: Sr. Data Architect
Salary: $130k+
Duration: Direct-hire
Location: Sandy Springs, GA
Onsite 5 days / week for 3 months -2-3 days hybrid after that
Project Details We’re looking for a highly skilled and hands‑on Senior Data Architect to lead the design, implementation, and ongoing evolution of enterprise‑grade data systems. This role is ideal for a seasoned technologist who thrives in complex environments and is passionate about building scalable, secure, and intelligent data infrastructure that drives analytics, AI, and operational excellence. In this deeply technical position, you’ll be responsible for architecting and deploying modern data platforms that enable semantic modeling, telemetry pipelines, and agentic AI orchestration. Success in this role requires advanced expertise in data engineering, cloud architecture, and semantic technologies.
Non Negotiables
10+ years of experience in enterprise data architecture and engineering.
Proven expertise in SQL Server, Databricks, Azure Data Lake, Synapse, and Purview.
Strong proficiency in Python, Spark, and semantic modeling tools.
Hands‑on experience with ontology like OWL, RDF, SPARQL, or equivalent technologies.
Deep understanding of data lineage, data catalogs, and knowledge graph development.
Experience designing scalable data systems for analytics, AI, and operational workflows.
Negotiables
Certifications in cloud architecture (Azure, AWS), data modeling, or semantic technologies.
Experience in regulated industries such as AgTech, FoodTech, Pharma and Healthcare.
Exposure to controlled vocabularies, taxonomies, and linked data ecosystems.
Background in high‑growth SaaS environments or transformation‑stage enterprises.
Experience with agentic AI frameworks, vector databases, and semantic telemetry.
#J-18808-Ljbffr