Senior Data Warehouse Engineer

Company Description

ABOUT STREAM REALTY PARTNERS

Founded in 1996, Stream Realty Partners (Stream) began with a vision. Not one focused on bricks and mortar, but with people at its foundation. Headquartered in Dallas, TX and operating in core markets coast to coast, we complete billions in annual transactions in office, industrial, retail, healthcare, land, and data center properties. With millions of square feet of assignments, Stream is one of the fastest-growing, full-service commercial real estate services organizations in the country. Our team of talented individuals have come together to create our distinct culture, best summarized by our firm's core values: smart, honest, nice, and passionate. For more information, visit and follow Stream on LinkedIn, Instagram, X and Facebook.

IMMEDIATE IMPACT. MEANINGFUL CAREER.

At Stream, we know our success begins and ends with our people. It's the reason we work hard to attract and retain the best and brightest talent. From day one, you will be an integral member of our high-caliber, collaborative team. We will empower you to apply your energy, expertise, and creativity to meet our client's needs while instilling you with unsurpassed market knowledge and development opportunities to succeed. When you join Stream, you won't simply start a new job—you will build a meaningful and impactful career.

Job Description

STREAM'S CURRENT ENVIRONMENT

• In many ways, Stream operates as a complex matrix organization at the intersection of geographic markets and business functions. Due to the varying size and maturity of individual markets, the resources and processes present to support business functions vary across markets. This complicates the definition of data integrity and analytics.
• As Stream continues to grow an increased emphasis has been placed on quality data and enterprise analytics solutions that can support rapid growth and scale for the future. Speed, automation, accuracy, and self-service functionality will be key in achieving these goals.
• Stream utilizes a variety of domain-specific ERPs (Financial, CRM, HR, etc.) and it is vital for leadership to have the ability to evaluate datasets across multiple departments in a flexible and robust manner.

Position Overview

The Data Warehouse Engineer will play a critical role in advancing Stream Realty Partners' enterprise analytics strategy by designing and implementing scalable, Azure-based data solutions. This individual will leverage Microsoft Azure Fabric and related technologies to modernize Stream's data warehouse environment, ensuring speed, accuracy, and scalability.

Beyond technical delivery, this role will serve as a champion for Business Intelligence (BI) across the firm—empowering business units with trusted data, promoting self-service analytics, and training end users and colleagues to expand data literacy.

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Primary Responsibilities

Strategy & Planning

• Develop long-term data warehouse strategies aligned with business goals, emphasizing Azure Fabric and cloud-first approaches.
• Define enterprise data standards, models, and architectures to support robust BI adoption.
• Drive automation, scalability, and self-service capabilities to support Stream's growth.

Acquisition & Deployment

• Recommend and implement modern Azure data solutions (Azure Fabric, Synapse, Data Lake, Data Factory, Databricks, Snowflake, etc.).
• Select and configure optimal ETL/ELT tools to ensure seamless integration of enterprise data sources.
• Continuously evaluate emerging Azure services for innovation opportunities.

Operational Management

• Design and maintain efficient data pipelines and models to support Power BI and enterprise reporting.
• Proactively monitor, troubleshoot, and optimize warehouse performance.
• Ensure data integrity, security, and compliance across all environments.
• Collaborate with stakeholders to deliver dashboards, KPIs, and BI reports that drive actionable insights.

Training & BI Promotion

• Act as a trusted advisor and mentor for business stakeholders, analysts, and technical staff.
• Deliver training sessions and workshops on Power BI, self-service analytics, and data best practices.
• Foster a data-driven culture by promoting BI adoption and advocating for accessible, high-quality data across the firm.

Support & Project Delivery

• Support Tier 2/3 data issues, escalating to vendors as needed.
• Manage technical and functional projects—including SharePoint, Teams, and enterprise reporting initiatives.
• Partner with business leaders to ensure data and BI solutions directly support strategic priorities.

Qualifications

Knowledge & Experience

• Proven experience with Azure Fabric and the broader Microsoft Azure data ecosystem.
• Strong background in data warehousing (design, build, support) and ETL/ELT development.
• Expertise with SQL Server, Azure Synapse, Data Lake, Data Factory, Power BI.
• Solid understanding of dimensional data modeling and BI best practices.
• Experience enabling self-service BI environments and mentoring end users.
• Project management experience (Agile/Scrum and/or Waterfall).
• Commercial Real Estate (CRE) experience is a plus.

Education & Certifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of relevant data warehouse engineering experience.
• Azure, TOGAF, or Agile/Scrum certifications are highly valued.

Personal Attributes

• Strong communication and training skills; able to explain technical concepts to non-technical audiences.
• Passion for promoting BI adoption and building a culture of data literacy.
• Analytical, collaborative, and improvement-oriented mindset.
• In-office presence required (Dallas, TX).

Additional Information

Stream is an equal-opportunity employer and does not discriminate on the basis of ethnicity, race, religion, sexual orientation, gender identity, age, national origin, disability, military status, or any other reason prohibited by law.

Stream Realty Partners offers competitive salaries, bonuses, medical/dental/vision insurance, pharmacy benefits, health savings account, flexible spending accounts, 401(k) plan with company matching, PTO, and holiday pay. Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, location, and other job-related reasons.

To apply for a position, please visit our website