Director of Data Engineering (PTX2025-8162)

Imagine working for a dynamic, technology-driven HOA management company that is rapidly expanding, offering abundant opportunities for career advancement, and fostering a company culture that genuinely supports its team members.

RealManage has earned the prestigious Certified™ recognition from Great Place to Work®, a global authority on workplace culture, employee experience, and leadership excellence. This accolade is a testament to the positive feedback from our employees about their RealManage experience.

At RealManage, we deeply value your professionalism and dedication. We are dedicated to ensuring your long-term career success and consider you not just an employee, but a valued member of our family.

Join us at RealManage and be part of a thriving environment where growth, innovation, and supportive teamwork define our everyday operations.

Company Overview:

RealManage is a prominent national firm recognized on the Inc. 5000 list, operating across 16 states + Washington DC and serving a diverse array of clients including homeowners’ associations (HOAs), condominium associations, cooperatives, luxury high-rises, municipal utility districts, and master-planned communities. Our client base also includes nationally renowned developer and builder clients.

Ranked among the top firms in the community management industry (#3 out of 5,000+), RealManage distinguishes itself by delivering exceptional solutions at competitive prices. We leverage cutting-edge cloud-based technologies and mobile apps, supported by industry-leading practices and a highly skilled workforce.

Our mission at RealManage is to offer comprehensive and innovative solutions that consistently surpass customer expectations. We prioritize transparency and visibility in all client interactions, continuously measuring our performance to achieve rapid improvement. We foster a workplace culture that promotes professionalism, encourages growth, and embraces diversity. By maintaining financial strength and focusing on continual innovation, we aim to lead the industry with pioneering advancements.

Join RealManage and contribute to a company dedicated to excellence, innovation, and delivering unparalleled service in community management.

RealManage is a values-based company with the following values as our guiding principles:

• Integrity: we always do the right thing.
• Respect: for our customers, employees and company; mutual respect is the cornerstone for every RealManage relationship.
• Selflessness: more than teamwork; we are part of something special and much larger than any of us.
• Personal Relationships: we are a professional services company; people do business with people they like.
• Always Improving: never satisfied, always learning and always growing; one is either getting worse or getting better...never staying the same. At RealManage, we are always getting better.
  
  

Responsibilities

About the Role: Hybrid position - part in Plano office and part-time remote

We’re looking for a strategic and hands-on Director of Data Engineering to lead the design, development, and evolution of our data platform. This role is critical in shaping our data architecture, optimizing data pipelines, and building a best-in-class engineering team that empowers RealManage to make faster, smarter, and more scalable decisions.

What You’ll Do

• Set Vision and Strategy: Define and execute a roadmap for a scalable, secure, and high-performance data platform that supports the evolving needs of the business.
• Architect Scalable Systems: Design efficient and future-ready schemas, pipelines, and workflows for both structured and unstructured data—ensuring high throughput, low latency, and extensibility.
• Drive Engineering Excellence: Establish and enforce best practices around data ingestion, transformation, observability, quality, governance, and privacy.
• Build and Lead a World-Class Team: Hire, mentor, and develop a high-performing team of data engineers, fostering a culture of technical excellence, innovation, and inclusion.
• Collaborate Across the Business: Partner with data science, product, engineering, and business stakeholders to translate requirements into scalable data solutions that drive measurable impact.
• Champion Best Practices: Promote a strong data culture by advancing the use of modern tools (e.g., Airflow, dbt), testing frameworks, and real-time streaming technologies.
• Lead Next-Gen Initiatives: Spearhead the evolution of our real-time data lake and semantic layer, enabling frictionless analytics and experimentation.
• Ensure Governance and Reliability: Implement frameworks for data monitoring, observability, and validation to ensure system reliability, data integrity, and compliance.
• Stay Ahead of the Curve: Keep a pulse on emerging trends in cloud infrastructure, data engineering, and machine learning to ensure our platform remains best-in-class.
• Foster Communication and Alignment: Translate complex technical ideas into clear business terms, contributing to strategic conversations and cross-functional planning.
• Plus other work-related tasks as needed
  
  

Qualifications

Who you are:

• 12+ years of experience in data engineering, data architecture, or business intelligence, with a strong record of leading teams and delivering large-scale platforms.
• Proven ability to deliver results in a dynamic, fast-paced, and entrepreneurial environment.
• Deep expertise in cloud platforms (AWS, Azure, or GCP) and distributed data systems.
• Advanced proficiency in Python, Java, or other object-oriented programming languages.
• Expert-level SQL skills with a solid foundation in data modeling and performance tuning.
• Hands-on experience with modern data stack tools: Snowflake, dbt, Airflow, Kafka, Synapse, Azure Data Lake, etc.
• Familiarity with real-time data streaming and IoT data ingestion architectures.
• Experience with infrastructure-as-code and containerization tools like Docker and Kubernetes.
• Strong grasp of data governance, privacy standards, and observability best practices.
• Excellent communicator who can distill complex ideas to technical and non-technical audiences alike.
• Track record of mentoring and growing diverse technical teams.
• Bachelor’s or advanced degree in Computer Science, Engineering, or a related field.
  
  

Technical Proficiency:

• Cloud-based data platforms (e.g., Snowflake, Azure Synapse, GCP BigQuery)
• Real-time and batch data pipelines (e.g., Kafka, Kinesis, Azure Event Hub)
• Data orchestration and transformation tools (e.g., Airflow, dbt
• Observability and monitoring for data pipelines
• Data modeling and performance optimization
• Data lake, warehouse, and semantic layer architectures
• General software engineering and REST API development
• Microsoft technology stack and related development tools
  
  

Pay and Benefits:

$200,000 to $215,000, depending on education and experience.

Benefits include:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life and Disability Insurance
• HSA (Required High Deductible Medical Plan to be eligible)
• FSA
• Education Reimbursement
• 401K matching
• Employee Assistance Program (EAP)
• 11 paid Holidays