[Hiring] Senior Enterprise Data Architect @Planet

Role Description

The Sr Enterprise Data Architect owns the design of Planet’s enterprise data architecture and is accountable for the technical blueprint that makes loan-level data accurate, traceable, and reusable across originations, servicing, capital markets, finance, and risk. This role defines how data is modeled, integrated, secured, and consumed, and holds the line on those standards as the platform scales.

• Own the enterprise data architecture and target-state design.
• Define the layered (medallion) architecture on Snowflake spanning raw, conformed, and curated layers.
• Establish the reference architecture for ingestion, transformation, orchestration, and consumption.
• Maintain the architectural roadmap that sequences migration off legacy and redundant data stores.
• Design and own the enterprise data model and semantic layer.
• Build conformed dimensional and normalized models covering loan, borrower, property, investor, servicing, and financial subject areas.
• Define certified metric logic, grain, and business keys.
• Architect source system integration and data acquisition.
• Define ingestion patterns and contracts for various systems.
• Establish integration standards that survive vendor release cycles and upstream schema changes.
• Embed governance, security, privacy, and regulatory requirements into the architecture.
• Define critical data elements, lineage, and data quality control points.
• Design classification, masking, tokenization, and role-based access patterns for NPI and PII.
• Ensure the architecture supports investor, agency, and regulatory reporting obligations.
• Set and enforce engineering and architecture standards.
• Define modeling conventions, naming, transformation patterns, and observability requirements.
• Lead design reviews, mentor data engineers and analytics engineers.
• Produce architecture documentation, decision records, and reference implementations.
• Partner with business, technology, and vendor stakeholders.
• Translate business and regulatory requirements into architectural decisions.
• Advise application development and information security on data-impacting changes.
• Participate in platform and tooling evaluations.
• Represent the data architecture in enterprise governance and vendor technical forums.
• Performs other duties as assigned.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field required.
• Advanced degree or relevant cloud data platform certification preferred.
• Minimum ten (10) years of progressive experience in data engineering, data warehousing, or data architecture.
• Minimum four (4) years in a data architect or lead data modeler capacity.
• Mortgage or consumer lending data experience strongly preferred.
• Demonstrated experience designing and delivering a cloud data warehouse in production.
• Hands-on experience building dimensional and normalized data models.
• Experience integrating vendor-hosted systems of record.
• Experience implementing data quality, lineage, and access controls in a regulated environment.
• Experience migrating or consolidating legacy reporting databases preferred.
• Experience preparing data assets for machine learning or AI consumption preferred.

Requirements

• Expert-level SQL and deep working knowledge of Snowflake or a comparable cloud data platform.
• Strong command of data modeling techniques.
• Proficiency with modern transformation and orchestration tooling.
• Working knowledge of mortgage origination and servicing data structures.
• Familiarity with mortgage data and delivery standards preferred.
• Understanding of regulatory reporting requirements applicable to mortgage lending.
• Knowledge of data privacy and protection requirements.
• Experience defining and instrumenting data quality controls.
• Proficiency with a programming or scripting language used in data engineering, such as Python.
• Working knowledge of BI and semantic layer design.
• Ability to produce clear architecture documentation and data flow diagrams.
• Strong communication skills.

Benefits

• 3 comprehensive Cigna or Kaiser medical plans.
• Dental and vision insurance.
• Short term and long-term disability insurance.
• Basic life insurance.
• 401(k) plan.
• 11 employer paid holidays.
• Supplemental benefits including life insurance, critical illness, and accident plans.