Sr. Professional, Software Engineering

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: What is the role? We are hiring a Principal Software Engineer to lead the architecture, development, and scaling of our cloud-native data and analytics platform within the Cloud Delivery & Insights organization. This role will focus on designing and delivering modern data solutions leveraging Snowflake, Databricks, and cloud-native technologies. As a Principal Engineer, this individual will act as a technical leader and force multiplier, driving architectural standards, influencing cross-team decisions, and enabling our AI-first and data-driven strategy. What will you be doing? Lead architecture and design of scalable native applications in Snowflake, Databricks, and other marketplaces Drive best practices for performance, cost optimization, and reliability Partner with product, data, and platform teams to deliver business-critical solutions Enable AI/ML and advanced analytics through high-quality, accessible data systems Establish engineering standards, design patterns, and governance practices Mentor engineers and conduct architecture/design reviews Ensure operational excellence through monitoring, observability, and incident response Influence technical roadmap and long-term platform strategy What credentials/education do you need? Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 8 years of software engineering experience, with a focus on data platforms or data engineering Strong expertise in Snowflake, Databricks/Apache Spark, Python, and SQL Experience with cloud platforms Proven experience designing and operating large-scale, production systems Are you the right fit? Demonstrates strong system design and architectural thinking Operates effectively in ambiguous, fast-moving environments Influences across teams without direct authority Balances hands-on execution with strategic leadership Passionate about mentorship and raising engineering standards Strong ownership mindset with a focus on business impact Curiosity and enthusiasm for AI-first and data-driven innovation Job Qualifications: Minimum Qualifications (Education & Credentials) Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 8 years of software engineering experience, with a focus on data platforms or data engineering Strong expertise in Snowflake, Databricks/Apache Spark, Python, and SQL Experience with cloud platforms Proven experience designing and operating large-scale, production systems Preferred Qualifications Master’s degree in a technical field Experience with: Data orchestration tools (Airflow, Dagster, etc.) Data modeling and lakehouse architectures CI/CD and Infrastructure as Code (Terraform) Data governance and security practices Exposure to AI/ML pipelines or feature engineering Experience with streaming technologies (Kafka, Pub/Sub) Familiarity with BI tools (Tableau, Looker) Annual ... (truncated, view full listing at source)