GCP Data Architect: Mortgage Data Modernization

Vallum Associates

Charlotte (NC)

On-site

USD 88,000 - 118,000

Full time

33 hours ago
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Job summary

Vallum Associates seeks an experienced Solution Architect to lead the Home Lending Data Modernization Program, building a scalable cloud data ecosystem to support FR Y-14M reporting, analytics and governance. You will shape the target architecture and guide cross-functional teams.

The role requires 12+ years in data and integration, deep GCP/BigQuery experience, and hands-on coding with Python, SQL and Spark.

Qualifications

  • 12+ years in Data / Integration / Solution Architecture.
  • Strong experience with GCP & BigQuery.
  • Hands-on architecture experience with Python, PySpark, SQL, Spark and Data Warehousing.
  • Strong understanding of Batch, CDC, Streaming, Event-Driven Architecture and REST APIs.
  • Experience modernizing Ab Initio, SAS and Teradata.
  • Strong expertise in Data Lineage, Metadata, Data Quality and Data Governance.

Responsibilities

  • Define the target-state architecture for the Home Lending data ecosystem.
  • Define the Home Lending data model across origination, servicing, and loan performance.
  • Lead cloud modernization and legacy migration efforts.
  • Define architecture using GCP, BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer.
  • Establish data lineage, metadata, governance and data quality frameworks.
  • Design automated controls, reconciliation and validation processes.
  • Provide architectural leadership across Data Engineering, Regulatory Reporting and Governance teams.

Skills

Data Architecture
Cloud Architecture
Leadership
Stakeholder management

Tools

GCP
BigQuery
Python
PySpark
SQL
Spark
Dataflow
Pub/Sub
Dataproc
Cloud Composer
Ab Initio
SAS
Teradata

Job description

Vallum Associates seeks an experienced Solution Architect to lead the Home Lending Data Modernization Program, building a scalable cloud data ecosystem to support FR Y-14M reporting, analytics and governance. You will shape the target architecture and guide cross-functional teams.

The role requires 12+ years in data and integration, deep GCP/BigQuery experience, and hands-on coding with Python, SQL and Spark.

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