Business Intelligence Engineer

Redwood Trust Inc•Englewood, CO

8d•$130,000 - $165,000

About The Position

We are seeking a Senior Business Intelligence (BI) Engineer to lead the design, development, and delivery of modern, cloud-based data and analytics solutions. This role combines hands-on technical expertise with strategic leadership, ensuring the business has access to high-quality, reliable data and insights that drive growth and operational excellence. As the Senior BI Engineer, you will leverage Microsoft Fabric, Azure cloud services, and advanced BI tools to build scalable pipelines, semantic models, and enterprise-wide data architectures. You will set the standard for BI engineering best practices, mentor team members, and collaborate with stakeholders across the organization to deliver data products that power critical decisions. From ingestion to modeling to reporting, you will architect technical solutions that transform how we leverage data as a competitive advantage.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, or a related field.
8+ years of experience in BI engineering, data analytics, and data governance practices.
Significant, end-to-end expertise in Power BI — including data modeling, DAX, Power Query, workspace governance, embedding, security, deployment pipelines, and administration.
Hands-on expertise with Microsoft Fabric for data integration, governance, and analytics at scale.
Strong proficiency in SQL, with experience in relational databases and cloud data warehouses (including MS SQL Server and Fabric).
Experience implementing data governance practices and CI/CD pipelines for BI or data platforms.
Excellent communication skills with the ability to bridge technical and business perspectives.
Strong problem-solving skills, attention to detail and ability to thrive in a fast-paced environment.

Nice To Haves

Experience leading BI teams or mentoring junior engineers.
Background in finance, real estate, or related industries.
Exposure to advanced analytics, predictive modeling, or machine learning applications.

Responsibilities

Translate business goals into scalable, data-driven solutions that empower decision-making.
Build robust, scalable data pipelines and semantic models that power advanced BI and analytics.
Champion data governance best practices including data lineage, cataloging, access controls, and quality monitoring to ensure trusted enterprise-wide analytics.
Define and enforce deployment governance standards to ensure BI assets are delivered in a consistent, reliable, and auditable manner.
Develop CI/CD pipelines for Fabric and Power BI assets.
From ingestion to modeling to reporting, you will architect and implement technical solutions.
Ensure that reporting pipelines, daily jobs, and data validation processes operate seamlessly to provide trusted business intelligence.
Partner with stakeholders to design KPIs, dashboards, and analytics products that address evolving business needs while adhering to data stewardship and governance protocols.
Deliver visually compelling, intuitive Power BI dashboards and reports that tell a clear story and enable data-driven decisions.
Regularly demo new BI solutions to business teams, incorporating feedback into iterative improvements.
Guide and mentor BI and data engineers in analytics as well as best practices and standards for data handling, governance, and deployment.
Collaborate with technical partners (Corporate technologies, Salesforce, Application Development, Data Engineering) to deliver integrated, end-to-end data products.
Act as a liaison between technical and business teams, ensuring solutions are both technically sound and business-relevant.
Own the design of enterprise-wide cloud-based BI and analytics architecture.
Develop and scale enterprise-wide intelligence solutions that align with the company’s growth strategy.
Experiment with Fabric’s evolving feature set to drive next-generation analytics.
Stay ahead of industry trends and recommend innovative approaches to expand BI capabilities.
Drive backlog refinement, planning, execution, and delivery of BI projects, ensuring deadlines and quality standards are met.
Manage BI platforms with a focus on performance, scalability, governance, and security.
Continuously evaluate and implement improvements to BI processes, tools, and methodologies.