Azure Databricks Solutions Architect - Lakehouse & DataOps

Fractal; United States; On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability plans

401(k) after 30 days

11 paid holidays

12 weeks Parental Leave

PTO

Job summary

Fractal is seeking a Solution Architect to design enterprise-scale data architectures on Azure Databricks and cloud platforms. You will define end-to-end data solutions, patterns, and standards supporting analytics, AI/ML, and operational use cases.

Architectures must be scalable, secure, and governed, enabling cross-team reuse and reliability. The role emphasizes delivering reference architectures, data models, and architecture reviews while guiding engineering teams on Spark optimization,

Qualifications

• Experience designing enterprise-scale data architectures on cloud platforms.
• Hands-on with Databricks, Delta Lake and data lakehouse patterns.
• Knowledge of governance, RBAC and data security policies.

Responsibilities

• Design scalable Lakehouse architectures (Databricks, Delta Lake).
• Develop reference architectures and design patterns for scalable data platforms.
• Align architecture with performance, security, and cost goals.
• Define canonical data models and semantic layers for analytics.
• Provide architectural oversight for pipelines, CI/CD, and MLOps practices.

Skills

Lakehouse design

Data Warehouse design

ETL/ELT pipelines

Orchestration frameworks

Azure Databricks

Delta Lake

CI/CD DevOps

Metadata governance

RBAC security

Multi-cloud

Tools

Azure Databricks

Delta Lake

Purview

Unity Catalog

Git

Job description

Fractal is seeking a Solution Architect to design enterprise-scale data architectures on Azure Databricks and cloud platforms. You will define end-to-end data solutions, patterns, and standards supporting analytics, AI/ML, and operational use cases.

Architectures must be scalable, secure, and governed, enabling cross-team reuse and reliability. The role emphasizes delivering reference architectures, data models, and architecture reviews while guiding engineering teams on Spark optimization,