Senior Data Engineer
Location: United States
Job Type: Full-Time | Exempt | Hybrid/Remote Eligible
Salary Range: $135,000 – $170,000 per year
About Commercial Bank of California
Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $4 billion in assets as of November 2026.
We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.
As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking—one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that’s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.
Job Summary
The Senior Data Engineer is responsible for designing, building, and operating scalable, secure data platforms that power enterprise analytics, reporting, and advanced data use cases, including financial services and payments data. With 7-10+ years of hands-on data engineering experience, this role serves as a data engineer who can wear an architect hat, owning end-to-end data pipelines, data models, and analytical data stores across the Azure ecosystem.
You will lead the implementation of Microsoft Fabric, Azure Databricks, and modern lakehouse architectures, including the migration of Databricks workloads to Microsoft Fabric where it makes sense, while partnering closely with business intelligence, analytics, AI, and business stakeholders. This role emphasizes data reliability, governance, and performance at scale, supporting both operational and strategic decision-making.
Essential Duties and Responsibilities
Data Platform & Architecture
- Design, build, and maintain enterprise-grade data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
- Architect and implement lakehouse and medallion architectures (Bronze/Silver/Gold) to support analytics and BI workloads.
- Define standards for data ingestion, transformation, storage, and access across structured and semi-structured data sources.
- Plan and execute Databricks-to-Fabric migrations, including workload assessment, Delta/OneLake data movement, notebook and pipeline conversion, semantic model re-pointing, validation, and cutover.
Data Engineering & Pipelines
- Develop and optimize batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure-native services.
- Implement robust ETL/ELT processes, ensuring data quality, accuracy, and consistency across systems.
- Monitor, tune, and optimize data pipelines for performance, scalability, and cost efficiency.
- Integrate and model data from FIS core banking and H360 systems into the lakehouse for analytics and reporting.
- Build and support data pipelines for payments data (e.g., ACH, wire, card, and real-time payments), including ingestion, reconciliation, and reporting.
Data Modeling & Analytics Enablement
- Design and maintain logical and physical data models optimized for analytics, reporting, and downstream consumption.
- Build semantic models and curated datasets to support Power BI and enterprise Business Intelligence use cases.
- Partner with BI developers, analysts, and business stakeholders to translate reporting requirements into scalable data solutions.
DevOps, CI/CD & Reliability
- Implement and manage CI/CD pipelines using Azure DevOps for data engineering workloads.
- Enforce best practices for source control, automated testing, deployment, and environment management.
- Ensure high availability, fault tolerance, and operational excellence for production data systems.
Governance, Security & Compliance
- Implement data governance, security, and access controls, including role-based access and data classification.
- Ensure compliance with enterprise data policies and regulatory requirements.
- Collaborate with security and infrastructure teams to enforce secure data handling and platform standards.
Data Quality Support
- Validate daily, weekly, and monthly data loads.
- Investigate data mismatches.
- Reconcile source-to-target records.
- Validate business-critical reporting datasets.
- Verify completeness, accuracy, and timeliness of data
Leadership & Collaboration
- Serve as a senior technical mentor for data engineers and analytics teams.
- Provide architectural guidance, code reviews, and best-practice leadership across data initiatives.
- Act as a trusted partner to business, analytics, and AI teams to enable data-driven decision making.
Minimum Qualifications
- 7-10+ years of professional experience in data engineering, data platform development, or analytics engineering.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- Deep hands-on experience with:
- Microsoft Fabric (Lakehouse, Data Pipelines, OneLake, Semantic Models)
- Azure Databricks (Spark, Delta Lake, performance tuning)
- Data modeling for analytics and BI
- Azure DevOps (CI/CD, Git, automated deployments)
- Business Intelligence platforms, especially Power BI
- Microsoft expertise across the data and analytics stack (Fabric, Azure Data Lake, Synapse, Power BI, Microsoft Purview, Entra ID).
- Databricks expertise (Unity Catalog, Delta Live Tables / Lakeflow, Databricks Workflows, cluster and cost optimization).
- Advanced proficiency in SQL and strong experience with Python or Spark-based development.
- Proven experience building and supporting production-grade data pipelines at scale.
Benefits & Perks
- Competitive employer contribution to medical, dental and vision coverage
- 401k plan with employer match
- Flexible Spending Accounts (FSA) and Dependent Care Accounts
- Employee Assistance Program (EAP)
- Employer provided Calm subscription
- Employer provided mental health benefits through Teladoc
- Life, AD&D and disability insurance
- Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
- Online discount program
- Tuition Reimbursement Program
Join Our Team!
- Submit your resume to Apply to Your Position Here
Equal Employment Opportunity & Accommodations
Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.
We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.
Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at [email protected] with the nature of your request and your contact information.
Recruitment Policy
Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.
We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.
Skills Required
- 7-10+ years of professional experience in data engineering, data platform development, or analytics engineering
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
- Hands-on experience with Microsoft Fabric, including Lakehouse, Data Pipelines, OneLake, and Semantic Models
- Hands-on experience with Azure Databricks, Apache Spark, Delta Lake, and performance tuning
- Experience with data modeling for analytics and business intelligence
- Experience with Azure DevOps, CI/CD, Git, and automated deployments
- Experience with business intelligence platforms, especially Power BI
- Microsoft data and analytics stack experience, including Fabric, Azure Data Lake, Synapse, Power BI, Microsoft Purview, and Entra ID
- Databricks experience with Unity Catalog, Delta Live Tables or Lakeflow, Databricks Workflows, and cluster and cost optimization
- Advanced proficiency in SQL
- Strong experience with Python or Spark-based development
- Proven experience building and supporting production-grade data pipelines at scale
What We Do
Commercial Bank of California is a full-service, FDIC-insured business bank headquartered in Irvine, serving organizations and communities across California. Founded to support entrepreneurs and mission-driven organizations, it provides relationship-based commercial lending and lines of credit, SBA and growth financing, and nonprofit banking. Its purpose-driven model emphasizes responsive service, direct access to decision-makers, and expanding access to capital while helping businesses, nonprofits, and communities grow.
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