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Acra Lending Tech Stack

Non-QM mortgage lender serving wholesale and direct consumers across 39+ states

Financial Services Irvine, CA 201–500 employees Founded 2003 Privately Held

Acra Lending operates a private mortgage lending platform focused on non-qualified-mortgage (non-QM) products, serving both mortgage professionals and consumers across 39 states. The tech stack reveals a data-first operational model: SQL Server + Snowflake + dbt form the core analytics spine, layered with Salesforce for CRM and Finastra for lending-specific domain logic. Current project focus—ETL optimization, cloud database migration, and disaster recovery—paired with pain-point density around data governance and compliance, suggests the company is investing heavily in infrastructure maturity and regulatory risk management as it scales.

Tech Stack 36 technologies

Core StackSalesforce SQL Server Snowflake AWS RDS MySQL dbt Azure Data Factory Power BI Tableau Power Automate Python Jira Active Directory GraphQL Glide Snowpipe Boomi SQL Server Integration Services SQL Server Management Studio Redgate SQL Server Reporting Services Finastra Microsoft Defender for Endpoint Microsoft Defender for Office 365 Sentinel Microsoft Purview Azure AD Identity Protection PowerShell Azure Logic Apps Domo+6 more

What Acra Lending Is Building

Challenges

  • Process improvements automation accounts payable
  • Financial risk mitigation accounts payable
  • Data governance and security
  • Performance optimization of data warehouses
  • Database security and compliance
  • Ensuring reporting accuracy
  • Minimizing company risk
  • Compliance with regulatory guidelines
  • Reducing operational risk
  • Scalable processes for portfolio complexity

Active Projects

  • Etl pipeline optimization
  • Data integration platform configuration
  • Data warehouse and lake development
  • Development of reporting and tracking tools
  • Development of sops and standardized processes
  • Cloud database migration strategy
  • High availability and disaster recovery implementation

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Sales
5
Finance
4
Engineering
3
Support
2
Data
1
Ops
1

Seniority

Mid
8
Junior
4
Senior
3
Manager
1
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About Acra Lending

Acra Lending is a privately held residential mortgage lender headquartered in Irvine, California, licensed as an NMLS mortgage lender (ID #144549) offering direct lending, wholesale lending, correspondent purchasing, and loan servicing. The company specializes in alternative income documentation, non-prime and subprime lending, bank statement loans, and jumbo mortgages—product categories that require higher data rigor and risk modeling than traditional QM lending. Operations span 39 U.S. states. The workforce of 201–500 employees is currently hiring most aggressively in sales and finance roles, with smaller engineering, data, and support teams supporting the lending and servicing operations.

HeadquartersIrvine, CA
Company Size201–500 employees
Founded2003
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Acra Lending use?

Acra Lending runs Salesforce (CRM), SQL Server, Snowflake, and dbt (analytics), Finastra (lending domain), AWS RDS, Power BI, Tableau, Boomi (integration), and Azure-based security (Defender, Sentinel, Purview). Active projects include ETL optimization and cloud database migration.

What mortgage products does Acra Lending offer?

Acra Lending specializes in non-QM lending, bank statement loans, stated income, alternative income documentation, subprime/non-prime mortgages, jumbo loans, second mortgages, and private money loans. It serves mortgage professionals and direct consumers across 39 states.

How this profile is built

Acra Lending's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.