Lead Data Architect: Semantic AI & Data Platform

Speria; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Speria in the United States (Atlanta area) seeks a Principal Platform Data Architect to lead the design, implementation, and evolution of enterprise-grade data systems. You will architect modern data platforms, semantic layers, telemetry pipelines, and agentic AI orchestration powering analytics, AI, and operational excellence.

You will ensure data flows across the business, enabling scalable, secure systems for global customers with collaboration across cross-functional teams.

Qualifications

• 10+ years experience in enterprise data architecture and engineering.
• Expertise with SQL Server, Databricks, Azure Data Lake, Synapse, Purview.
• Strong proficiency in Python, Spark, and semantic modeling tools.
• Hands-on experience with OWL, RDF, SPARQL.
• Deep understanding of data lineage, catalogs, knowledge graphs.

Responsibilities

• Architect unified data models for modular monoliths and microservices.
• Design data lakes, warehouses, and ETL pipelines with Databricks, SQL Server, Synapse, Delta Lake.
• Define data governance, metadata management, and observability standards.
• Develop ontology frameworks using OWL, RDF, SPARQL for semantic interoperability.
• Integrate structured and unstructured data into semantic layers for AI and analytics.
• Build and optimize high-volume ETL/ELT pipelines using Spark, Python, SQL.
• Implement data lineage, schema evolution, and data quality monitoring.
• Develop semantic telemetry pipelines for real-time analytics and AI agents.
• Manage cloud-native data infrastructure including Azure Data Factory, Event Hubs, Blob Storage.
• Prototype agentic AI workflows using orchestration frameworks.

Skills

Data architecture

SQL Server

Databricks

Azure Data Lake

Azure Synapse

Purview

Python

Spark

Semantic modeling

OWL/RDF/SPARQL

Tools

Azure Data Factory

Event Hubs

Blob Storage

Job description

Speria in the United States (Atlanta area) seeks a Principal Platform Data Architect to lead the design, implementation, and evolution of enterprise-grade data systems. You will architect modern data platforms, semantic layers, telemetry pipelines, and agentic AI orchestration powering analytics, AI, and operational excellence.

You will ensure data flows across the business, enabling scalable, secure systems for global customers with collaboration across cross-functional teams.