Data Lakehouse Architect — Cloud, AI & Leadership

Allstate; Texas; On-site; USD 134,000 - 210,000; Full time

Job summary

Allstate is seeking a Senior Data Architecture Leader to drive strategy, design, and governance for a scalable data platform. You will steer data lake and lakehouse implementations, collaborate with business partners and engineering to deliver secure, compliant analytics capabilities, and guide the architecture across cloud and on-prem environments.

You will lead senior stakeholders, develop prototypes, evaluate new technologies, and shape the next generation of data and AI platforms to enable

Qualifications

• Bachelor’s degree or equivalent professional experience.
• 10 to 15 years of experience in data architecture, cloud, analytics, or related IT disciplines.
• Hands-on with cloud platforms (AWS, Azure, Google Cloud) and performance tuning of large data systems.
• Experience leading enterprise data modernization and data lake/lakehouse initiatives.

Responsibilities

• Drive the evolution and data architecture for a scalable data platform.
• Design and implement modern data lake and lake house architectures with business partners.
• Engage with strategic customers to align data strategy with needs.
• Oversee long-term data products and analytics services across business and IT.
• Build POCs of cloud-native microservices for data with DevOps and metadata-driven frameworks.

Skills

Analytics Architecture

Cloud Data Architecture

Data Lake

Data Lakehouse Architecture

Data Strategies

Enterprise Architecture

Education

Bachelor’s degree or equivalent professional experience

Tools

Power BI

Tableau

Job description

Allstate is seeking a Senior Data Architecture Leader to drive strategy, design, and governance for a scalable data platform. You will steer data lake and lakehouse implementations, collaborate with business partners and engineering to deliver secure, compliant analytics capabilities, and guide the architecture across cloud and on-prem environments.

You will lead senior stakeholders, develop prototypes, evaluate new technologies, and shape the next generation of data and AI platforms to enable