Principal Data Architect

Become a Key Player as a Principal Data Architect

You will design and build the enterprise data architecture that enables analytics operations and customer-facing data products for the organization. You will partner with product engineering analytics ML finance risk and customer-facing teams to translate needs into durable data designs. This is a hands-on remote role where you will both define standards and implement critical models and reference implementations.

Heres How Youll Make an Impact on the Team

• Define the enterprise data architecture across conceptual logical and physical models for analytical and operational platforms.
• Design and maintain a meta-model capturing entities relationships business definitions ownership lineage sensitivity classifications and SLAs; integrate it with tooling.
• Architect and drive lakehouse strategy (medallion bronze/silver/gold Delta Lake patterns) including partitioning clustering schema evolution SCDs and reproducibility.
• Write PySpark SQL and Delta Lake code; build reference implementations prototype patterns review pull requests and personally model critical domains.
• Set patterns for ingestion via enterprise integration platforms and Databricks pipelines including CDC batch streaming and API-based sourcing.
• Partner with governance security and compliance to operationalize cataloging lineage classification masking and access controls (e.g. Unity Catalog IDMC).
• Establish and standardize data modeling practices naming conventions and review processes; coach engineers on dimensional modeling and Data Vault approaches.
• Identify tooling and capability gaps propose investments and drive multi-quarter initiatives to improve how the organization uses data.

Heres What Youll Need to Be Successful in This Role

• 1215 years of progressive experience in data engineering data warehousing and data architecture with several recent years at the architect level.
• Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services software.
• Deep hands-on expertise with Databricks and PySpark on Azure including Delta Lake Unity Catalog structured streaming and performance tuning at scale.
• Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise integration platforms.
• Proven track record designing and shipping meta-models and end-to-end data models (conceptual logical physical) to production.
• Strong command of dimensional modeling (Kimball) Data Vault 2.0 and modern lakehouse patterns; ability to choose the right approach per use case.
• Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing production code.
• Experience implementing data governance lineage and metadata management programs.
• Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g. GLBA SOC 2 PCI NIST state lending regulations).
• Excellent written and verbal communication skills; able to explain complex data concepts to engineers executives customers and auditors.

Heres What Else Might Help You Out

• Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting.
• Experience supporting loan origination deposit account opening or other consumer lending workflows and related data domains (applicants applications decisions funding servicing credit data fraud KYC/AML).
• Experience building feature stores or curated data products serving ML/AI workloads and BI consumers.
• Familiarity with Azure data services (ADLS Gen2 Azure Data Factory Event Hubs Synapse Purview) in conjunction with Databricks.
• Experience with dbt Great Expectations or other modern data quality and transformation tooling on Databricks.
• Bachelors or Masters degree in Computer Science Information Systems Engineering or related field or equivalent experience.

Pay Range

$126K to 214K/year

Ready to Make Your Mark

This role may fill quickly. Submit your resume to be considered.

Apply with Pioneers here