Azure Lakehouse Architect & Databricks Lead (Hybrid)

BauerFinancial, Inc.; United States; Hybrid; USD 135,000 - 170,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401k with employer match

Flexible Spending Accounts (FSA) and D

Employee Assistance Program (EAP)

Calm subscription

Mental health benefits via Teladoc

Life, AD&D and disability insurance

Vacation time: 15 days

Job summary

Commercial Bank of California is seeking a Senior Data Engineer to design, build, and operate scalable data platforms across the Azure ecosystem. You will own end-to-end data pipelines, models, and stores, leading lakehouse architectures and ensuring data reliability, governance, and performance at scale.

7+ years of hands-on experience required. You will collaborate with BI, AI, and business stakeholders to migrate workloads, implement efficient pipelines, and enable data-driven decision making

Qualifications

• 7-10+ years of professional data engineering experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Proven experience with lakehouse architectures and analytics.
• Strong SQL, Python or Spark development skills.

Responsibilities

• Design, build, and maintain enterprise-grade data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
• Architect lakehouse and medallion architectures for analytics workloads.
• Define data ingestion, transformation, storage, and access standards across sources.
• Plan Databricks-to-Fabric migrations and validate data movements.
• Build and optimize batch and streaming pipelines with Databricks and Fabric.

Skills

Data modeling

Analytical thinking

Mentorship

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Fabric

Azure Databricks

Azure Data Lake

Azure Synapse

Databricks

Power BI

Job description

Commercial Bank of California is seeking a Senior Data Engineer to design, build, and operate scalable data platforms across the Azure ecosystem. You will own end-to-end data pipelines, models, and stores, leading lakehouse architectures and ensuring data reliability, governance, and performance at scale.

7+ years of hands-on experience required. You will collaborate with BI, AI, and business stakeholders to migrate workloads, implement efficient pipelines, and enable data-driven decision making