Job description

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it s a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we re working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: We are seeking a highly motivated and self-driven Principal Data Engineer / Data Architect with deep experience designing data models and building scalable batch and streaming data pipelines. This individual will serve as a lead, or anchor, engineer responsible for designing and delivering reusable, enterprise-grade data capabilities used across Cotality. The role requires hands-on expertise with Google Cloud Platform, including BigQuery and Dataflow, along with strong Python skills and experience working with graph technologies such as Neo4j or Google Spanner. Experience with orchestration tools such as Apache Airflow is also important. Key Responsibilities Design scalable data models and processing frameworks that support batch, streaming, API, analytics, and enterprise data use cases. Establish data architecture standards and support broader data governance and information strategy. Develop conceptual, logical, and physical data models that define how data is stored, processed, accessed, and integrated. Define and document solution architecture, technical designs, requirements, and implementation approaches. Lead an assigned engineering workstream while collaborating with other principal engineers on architecture, design, and technology best practices. Provide technical leadership and guidance to engineering and support teams. Help resolve complex data architecture and production issues across enterprise systems. Support enterprise technology initiatives involving data warehouses, data lakes, data marts, and data mesh architectures. Job Qualifications: Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent professional experience. Strong experience designing enterprise data architecture, data models, and scalable data-processing solutions. Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow. Strong programming experience with Python and PySpark. Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design. Experience working with graph databases or graph-oriented data solutions, such as Neo4j or Google Spanner. Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow. Demonstrated ability to develop clear architecture documentation, technical designs, standards, and specifications. Preferred Experience Experience with both Google Cloud Platform and AWS. Experience designing or supporting batch and streaming data pipelines. Knowledge of enterprise data governance, architecture standards, and technology strategy. Experience with modern data architecture concepts, including data lakes and data mesh. Exposure to AI development frameworks or lifecycle methodologies such as BMAD or Spec Kit. Experience mentoring engineers and guiding teams on architectural practices and technical approaches. Leadership and Collaboration Ability to independently lead a complex technical workstream from design through delivery. Strong communication and stakeholder-management skills. Ability to translate business needs into practical, well-architected technical solutions. Comfortable collaborating with other principal engineers to establish reusable patterns and consistent technology practices. Strong organizational, prioritization, and problem-solving skills in a fast-paced engineering environment. Annual Pay Range: 134,400 - 180,000 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2026-10-21 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights, depending on role classification, include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Requirements

Must-haves

We are seeking a highly motivated and self-driven Principal Data Engineer / Data Architect with deep experience designing data models and building scalable batch and streaming data pipelines.
Key Responsibilities Design scalable data models and processing frameworks that support batch, streaming, API, analytics, and enterprise data use cases.
Establish data architecture standards and support broader data governance and information strategy.
Develop conceptual, logical, and physical data models that define how data is stored, processed, accessed, and integrated.
Define and document solution architecture, technical designs, requirements, and implementation approaches.
Lead an assigned engineering workstream while collaborating with other principal engineers on architecture, design, and technology best practices.
Provide technical leadership and guidance to engineering and support teams.
Help resolve complex data architecture and production issues across enterprise systems.
Support enterprise technology initiatives involving data warehouses, data lakes, data marts, and data mesh architectures.
Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent professional experience.
Strong experience designing enterprise data architecture, data models, and scalable data-processing solutions.
Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow.
Strong programming experience with Python and PySpark.
Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design.
Experience working with graph databases or graph-oriented data solutions, such as Neo4j or Google Spanner.
Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow.
Demonstrated ability to develop clear architecture documentation, technical designs, standards, and specifications.
Experience designing or supporting batch and streaming data pipelines.
Knowledge of enterprise data governance, architecture standards, and technology strategy.
Experience with modern data architecture concepts, including data lakes and data mesh.
Exposure to AI development frameworks or lifecycle methodologies such as BMAD or Spec Kit.
Experience mentoring engineers and guiding teams on architectural practices and technical approaches.
Leadership and Collaboration Ability to independently lead a complex technical workstream from design through delivery.

Nice-to-haves

Preferred Experience Experience with both Google Cloud Platform and AWS.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonapisqlawsai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401(K)

Pto

Parental Leave

Wellness