Principal Data & Analytics Engineer

Archwest Capital

Irvine (CA)

On-site

USD 150,000 - 175,000

Full time

6 days ago

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Benefits offered by this job

Competitive compensation and bonus

Greenfield enterprise data platforms

Direct exposure to executive leaders

High-impact strategic work with big Ow

Modern cloud and analytics tech

Collaborative, growth-focused culture

Influence on future data organization

Job summary

Archwest Capital is seeking a Principal Data & Analytics Engineer to architect and build the next generation of our enterprise data and analytics platform. This senior, hands-on individual contributor will design data architecture, develop pipelines, and deliver analytics solutions that drive strategic decisions.

Reporting to Technology leadership and collaborating with Finance, Capital Markets, Operations, Servicing, Asset Management, Accounting, and Sales, you will transform enterprise data

Qualifications

Bachelor's degree in a related field.
10+ years of experience in Data/Analytics engineering or BI.
Expert SQL skills with relational DB design and performance tuning.
Hands-on ETL/ELT pipelines with modern tools (Azure Data Factory, Snowflake).
Experience designing data warehouses, semantic models, and scalable reporting architectures.
Proficiency with enterprise BI tools (Power BI, Tableau).
Strong communication with executive leadership.
Experience with APIs and enterprise integration technologies.
Cloud data platforms in Azure, AWS, or Google Cloud.
Proficiency in Python for automation and data processing.

Responsibilities

Architect and build the enterprise data platform, analytics infrastructure, and reporting ecosystem.
Develop scalable ETL/ELT pipelines with modern tooling.
Design and optimize data warehouses and governed datasets.
Integrate Salesforce, lending systems, financial platforms, APIs, and external data.
Create executive dashboards and self-service analytics for leadership.
Translate business problems into scalable data solutions and insights.
Define enterprise reporting standards, KPIs, governance, and data quality best practices.
Optimize SQL performance and data reliability.
Explore AI-enabled analytics and intelligent automation opportunities.
Collaborate with executives to drive strategic data initiatives.
Mentor junior analysts and engineers as the team grows.

Skills

SQL expertise

Executive communication

Problem solving

Mentoring

Education

Bachelor's degree in CS / IS / Data

Tools

Azure Data Factory

Snowflake

Power BI

Tableau

Python

Git / CI/CD

Job description

Build the Data & Analytics Foundation for a Growing Enterprise!

Archwest Capital is seeking a highly technical Principal Data & Analytics Engineer to help architect and build the next generation of our enterprise data and analytics platform.

This is a senior, hands-on individual contributor role. You'll personally design data architecture, build modern data pipelines, develop executive dashboards, and deliver analytics solutions that drive business decisions across the company.

Working closely with Technology leadership and executives across Finance, Capital Markets, Operations, Servicing, Asset Management, Accounting, and Sales, you'll transform enterprise data into trusted business intelligence while establishing the technical foundation for our long-term

Data & Analytics practice.

As Archwest continues to grow, you'll have the opportunity to help shape the future of the function, mentor future team members, and potentially evolve into a leadership role.

What You'll Do

As a Principal Data & Analytics engineering resource, you will:

Architect and build our enterprise data platform, reporting ecosystem, and analytics infrastructure.
Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools.
Build and optimize enterprise data warehouse solutions and governed datasets.
Integrate Salesforce, lending systems, financial platforms, APIs, and third-party data sources.
Develop executive dashboards, operational reporting, and self-service analytics solutions.
Translate complex business problems into scalable data solutions and actionable insights.
Establish enterprise reporting standards, KPI definitions, data governance, and data quality best practices.
Optimize SQL performance, database architecture, and data reliability.
Evaluate AI-enabled analytics, predictive modeling, and intelligent automation opportunities.
Partner directly with executive leadership to support strategic initiatives and improve decision-making.
Help define the long-term enterprise data strategy and technology roadmap.
Mentor future analysts and engineers as the team expands.

What We're Looking For

We're looking for an experienced engineer who enjoys solving complex business problems through data and engineering.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, Mathematics, or a related field.
10+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related disciplines.
Expert-level SQL skills with deep experience in relational database design, optimization, and performance tuning.
Hands-on experience building modern ETL/ELT pipelines using technologies such as Azure Data Factory or Snowflake.
Experience designing enterprise data warehouses, semantic models, and scalable reporting architectures.
Strong experience with enterprise BI tools such as Power BI, Tableau, or equivalent.
Excellent communication skills with the ability to present technical concepts and analytical insights to executive leadership.
Experience integrating Salesforce and other enterprise platforms using APIs and modern integration technologies.
Experience with cloud-based data platforms within Azure, AWS, or Google Cloud.
Proficiency with Python or similar scripting languages for automation, analytics, and data processing.
Experience using Git, CI/CD, and modern software development practices.
Strong understanding of enterprise data governance, metadata, lineage, and data quality.

Preferred Qualifications

Experience within lending, mortgage, financial services, banking, commercial real estate, or investment management.
Experience supporting Capital Markets, Finance, or Executive reporting.
Knowledge of loan servicing, portfolio analytics, underwriting, or production reporting.
Experience implementing enterprise reporting strategies or Business Intelligence Centers of Excellence.
Experience evaluating or implementing AI-enabled analytics and intelligent automation solutions.

What Makes This Opportunity Different

This role offers the opportunity to build, not simply maintain.

You’ll have the ability to:

Build the enterprise data platform.
Work with executives and leadership on high-impact strategic initiatives.
Influence enterprise architecture and long-term technology decisions.
Establish standards, governance, and best practices across the organization.
Drive meaningful business outcomes through modern analytics and AI.
Help shape and grow the future Data & Analytics organization.

If you enjoy owning technical architecture, solving challenging business problems, and building modern data platforms that create measurable business value, we’d love to talk.

About Archwest Capital

Archwest Capital is a leading private real estate lender focused on delivering innovative financing solutions to real estate investors across the United States. We believe technology is a strategic differentiator and are investing heavily in modern platforms, automation, analytics, and AI to support our continued growth.

Our Technology organization partners closely with every business function to deliver scalable solutions that improve efficiency, enhance decision-making, and create exceptional experiences for our customers and employees.

Why Join Archwest?