Data Architect
Core
Lead data engineering initiatives to modernize legacy ETL platforms and design scalable cloud-native data solutions for enterprise-scale applications.
Role type
Senior Data Architect (Cloud & ETL)
Builds
Scalable cloud-native data solutions, real-time streaming pipelines, and modernized Azure data platforms.
Domain
Life Sciences / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SSIS, SQL Server, Azure Data Factory, Azure SQL, Synapse, Databricks, Event Hubs, Kafka, Debezium, complex query optimization, data modeling, ETL workflow design, technical leadership, code review, performance tuning, fault tolerance design.
Preferred skills
AI workflow integration, real-time streaming architecture.
Technologies
Azure Data Factory, Azure SQL, Synapse, Databricks, Event Hubs, Kafka, Debezium, SSIS, SSRS.
Responsibilities
Lead design, development, and optimization of SSIS packages and ETL workflows; Drive migration of legacy SSIS/SQL solutions to Azure services; Architect and implement real-time streaming data pipelines; Provide technical leadership by reviewing designs and enforcing best practices; Collaborate with cross-functional teams to translate business needs into technical solutions; Own technical problem-solving for production issues and platform modernization risks.
Seniority
Senior, hands-on IC with leadership responsibilities.