Data Architect / Data Engineering Lead

Data Architect / Data Engineering Lead

Role Overview
Seeking a senior Data Architect / Data Engineering Lead to establish enterprise data architectures and lead implementation of scalable data platforms supporting analytics, operational workloads, AI, and machine learning.

Key Responsibilities

• Develop enterprise data architecture and target-state roadmaps.
• Design data lake, lakehouse, warehouse, operational and analytics platforms.
• Develop logical and physical data models.
• Architect batch and real-time data pipelines.
• Establish data integration and interoperability patterns.
• Lead ETL/ELT architecture and development.
• Establish data quality, lineage, metadata, governance, and master-data practices.
• Design data architectures supporting AI/ML and GenAI.
• Optimize data performance, scalability, availability, and cost.
• Work with security teams to protect sensitive data.
• Lead data engineers and provide technical direction.
• Support migration and modernization of legacy data environments.

Mandatory Qualifications

• 10 years of data technology experience.
• 5 years in Data Architect or senior Data Engineering roles.
• Advanced SQL.
• ETL/ELT and data integration.
• Data warehouse/lake/lakehouse architectures.
• Cloud data platform experience.
• Data modeling and governance.
• Experience designing enterprise-scale pipelines.

Highly Preferred

• Azure Data Factory.
• Azure Synapse.
• Microsoft Fabric.
• Databricks.
• Snowflake.
• Spark/PySpark.
• Kafka/event streaming.
• Purview.
• Power BI.
• AI/ML data architecture.