VP, Data Platform Architect & Modeler

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Company: Banc of California

Location: Santa Ana, CA 92704

Description:

BANC OF CALIFORNIA AND YOUR CAREER

Banc of California, Inc. (NYSE: BANC) is a bank holding company headquartered in Los Angeles with one wholly-owned banking subsidiary, Banc of California (the "bank"). Banc of California is one of the nation's premier relationship-based business banks focused on providing banking and treasury management services to small, middle-market, and venture-backed businesses. Banc of California offers a broad range of loan and deposit products and services, with full-service branches throughout California and Denver, Colorado, as well as full-stack payment processing solutions through its subsidiary, Deepstack Technologies. The bank is committed to its local communities by supporting organizations that provide financial literacy and job training, small business support, affordable housing, and more.

At Banc of California, our success is driven by our people, and we take pride in fostering an environment where everyone can reach their full potential. We embrace a culture of empowerment, progressive thinking, and entrepreneurial spirit, ensuring our team members have an opportunity to make an impact and play an important role in the future of Banc of California. Our core values - Entrepreneurialism, Operational Excellence, and Superior Analytics - empower us in creating a dynamic and inclusive workplace. We are committed to supporting your growth and well-being with comprehensive benefits, career development programs, a variety of employee resource groups, and more. TOGETHER WE WIN

THE OPPORTUNITY

We are seeking a Data Platform Architect & Modeler to design, validate, and optimize data models that support our organization's analytics, reporting, and operational data needs. This role will actively contribute to building and maintaining data models while ensuring they align with business requirements and best practices. The ideal candidate will have experience working in Snowflake, dbt, data observability, DataOps, and DevOps, supporting our cloud-based data strategy and modernization efforts. Performs all duties in accordance with the Company's policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates.

HOW YOU'LL MAKE A DIFFERENCE

  • Data Modeling & Architecture
    • Design, build, and maintain conceptual, logical, and physical data models to support analytics, reporting, and operational workloads.
    • Ensure dimensional and relational data models support data warehousing and self-service analytics.
    • Develop and optimize data structures in Snowflake to ensure performance, scalability, and business alignment.
    • Utilize dbt to build and manage transformations for clean, structured, and reusable data models.
    • Conduct POCs to evaluate new tools, methodologies, and modeling techniques to improve performance, efficiency, and scalability
    • Establish and enforce data standards, governance, and best practices for data across the organization.
    • Ensure data models comply with regulatory, security, and compliance requirements.
  • Prototyping & Solution Exploration
    • Design and implement small-scale prototypes and evaluations to test approaches for data modeling, performance running, and architecture improvements.
    • Assess and compare data modeling techniques, integration strategies, and observability tools to recommend the best solutions for the enterprise.
    • Work closely with data engineering and analytics teams to assess new methodologies before full-scale implementation.
    • Document findings from evaluations and provide technical guidance on their adoption.
  • Data Observability, DataOps, & DevOps
    • Implement data observability tools to monitor data health, lineage, and anomalies across pipelines.
    • Integrate DataOps principles to automate data quality checks, validation, and governance processes.
    • Work with DevOps teams to ensure CI/CD pipelines support automated deployments and version control for data models.
    • Define and enforce data validation, monitoring, and alerting mechanisms to proactively address issues before they impact stakeholders.
    • Partner with teams to identify and resolve data inconsistencies, drift, and performance bottlenecks.
  • Collaboration & Stakeholder Engagement
    • Partner with business teams to understand reporting and analytics needs, translating them into scalable data models.
    • Work with data engineers, BI teams, and application developers to optimize data structures for various use cases.
    • Collaborate with data governance teams to define metadata, lineage, and data quality standards.
    • Provide technical guidance on data modeling, DataOps, and best practices for data architecture.
  • Technology & Innovation
    • Evaluate and recommend modern data modeling tools and methodologies to improve efficiency and scalability.
    • Stay up-to-date on industry trends, data modeling techniques, and cloud data technologies to enhance data architecture.
    • Support the data foundation initiative, contributing to the modernization of enterprise data platforms.
  • Treat people with respect; keep commitments; inspire the trust of others; work ethically and with integrity; uphold organizational values; accept responsibility for own actions.
  • Demonstrates knowledge of and adherence to EEO policy; shows respect and sensitivity for cultural differences; educates others on the value of diversity; promotes working environment free of harassment of any type; builds a diverse workforce and supports affirmative action.
  • Follows policies and procedures; completes tasks correctly and on time; supports the company's goals and values.
  • Performs the position safely, without endangering the health or safety to themselves or others and will be expected to report potentially unsafe conditions. The employee shall comply with occupational safety and health standards and all rules, regulations and orders issued pursuant to the OSHA Act of 1970, which are applicable to one's own actions and conduct.
  • Performs other duties and projects as assigned.


WHAT YOU'LL BRING

  • 8+ years of experience in data modeling, data architecture, or database design.
  • 6 - 8 years of experience in financial services (banking preferred).
  • Hands-on experience with Snowflake, dbt, and data observability tools
  • Experience implementing DataOps and DevOps practices in a data environment.
  • Expertise in dimensional (OLAP) and relational (OLTP) data modeling techniques.
  • Proficiency in SQL and experience optimizing queries for performance and scalability.
  • Experience with data modeling tools (Erwin, SQLDBM, dbt, or similar).
  • Strong understanding of data governance, data quality, and metadata management.
  • Strong problem-solving skills and ability to work independently on technical implementations.
  • Excellent communication skills to collaborate with technical and non-technical stakeholders.
  • Experience with ETL/ELT frameworks and data pipeline best practices.
  • Knowledge of Python, Spark, or other data transformation tools.
  • Must be able to prioritize multiple projects and objectives in rapidly changing environment


HOW WE'LL SUPPORT YOU

  • Financial Security: You will be eligible to participate in the company's 401k plan which includes a company match and immediate vesting.
  • Health & Well-Being: We offer comprehensive insurance options including medical, dental, vision, AD&D, supplemental life, long-term disability, pre-tax Health Savings Account with employer contributions, and pre-tax Flexible Spending Account (FSA).
  • Building & Supporting Your Family: Banc of California partners with providers that offeradoption, surrogacy, and fertility assistance as well as paid parental leave and family support solutions including care options for your family.
  • Paid Time Away: Eligible team members receive paid vacation days, holidays, and volunteer time off.
  • Career Growth Opportunities: To support career growth of our team members, we offer tuition reimbursement, an annual mentorship program, leadership development resources, access to LinkedIn Learning, and more.


SALARY RANGE

The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors.

Banc of California is an equal opportunity employer committed to creating a diverse workforce. All qualified applicants will receive consideration for employment without regard to age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), denial of Family and Medical Care Leave, disability (mental and physical) including HIV and AIDS, marital status, medical condition (cancer and genetic characteristics), genetic information, military and veteran status, national origin (including language use restrictions), race, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, gender expression, and sexual orientation. If you require reasonable accommodation as part of the application process, please contact Talent Acquisition.

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