Enterprise Architect - Emerging Analytics
Core
Define technology strategies and modernize data platforms to enable a data-driven enterprise, focusing on large-scale data lake implementation, cloud adoption, and advanced analytics including generative AI.
Role type
Senior Enterprise Architect (Data & Analytics)
Builds
Enterprise-scale data platforms, data lake/lake house architectures, and cloud-native microservices for analytics and AI.
Domain
Insurance / Enterprise Data Architecture & Cloud
Deliverable
production ML models
Required skills
Data architecture, Cloud data architecture, Data lake/lake house design, MPP database tuning, Cloud platform architecture (AWS/Azure/GCP), Data modeling, ETL/ELT, SQL, CI/CD, Big data platforms
Preferred skills
Microsoft Fabric, Generative AI agents, Cloud architecture certifications, Scaled Agile, Highly regulated industry experience
Technologies
AWS, Azure, Google Cloud, Microsoft Fabric, Oracle Exadata, Teradata, Snowflake, Redshift, Azure Synapse, Power BI, Tableau, S3, IAM, SNS/SQS
Responsibilities
Drive evolution of scalable and secure data platform architecture; Design and implement modern data lake and lake house architecture; Develop prototypes and evaluate emerging technologies for data and AI platforms; Oversee deployment of strategic data products; Design data models, flows, and integration patterns; Communicate architectural strategy to senior leadership.
Seniority
Senior, hands-on IC with strategic influence
