Director of Data Engineering & Platforms

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 remote Director of Data Engineering & Platforms to lead our data transformation initiatives and establish robust data architecture frameworks. This role will report to the AVP of Cloud Engineering and will be responsible for designing, implementing, and maintaining our enterprise data ecosystem across Bronze, Silver, and Gold data layers following Data Mesh and Data Vault methodologies. The ideal candidate will drive technical leadership and strategic direction for our data platform while partnering with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams to transform raw data into actionable business intelligence.

Key Responsibilities:

Strategic Leadership & Architecture

* Lead the development and implementation of our data engineering strategy, architecture roadmap, and technical standards

* Oversee the design and evolution of our data ecosystem utilizing Data Vault methodologies and Data Mesh principles

* Establish governance and quality frameworks across Bronze (raw), Silver (transformed), and Gold (consumption-ready) data layers

* Partner with Product Management to align data platform capabilities with business objectives and market demands

* Drive the technical roadmap for data integration, transformation, and delivery systems

Technical Direction & Delivery

* Provide technical leadership and oversight for the data engineering team, ensuring best practices in data pipelines, transformations, and delivery

* Oversee the design and implementation of Snowflake data architecture including warehousing, marts, and access patterns

* Direct the development of robust ETL/ELT processes using Matillion and other modern data integration tools

* Guide the implementation of data quality monitoring, lineage tracking, and metadata management

* Establish standards for data modeling, transformation logic, and performance optimization

Team Leadership & Development

* Build, mentor, and lead a high-performing

* Collaborate cross-functionally with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams

* Foster a culture of innovation, continuous improvement, and technical excellence

* Develop talent through coaching, training, and career development opportunities

* Promote adaptive methodologies and Dev Ops practices within the data engineering discipline

BI & Analytics Enablement

* Oversee the technical implementation of Power BI reporting solutions and analytics platforms

* Ensure data pipelines efficiently support BI reporting needs and business intelligence requirements

* Partner with Data Analytics teams to optimize data structures for analytical workloads

* Guide the design of data models that enable self-service analytics and reporting

* Establish patterns for efficient and secure data access across the organization

Innovation & Future-State Planning

* Evaluate emerging technologies and methodologies for potential integration into our data platform

* Lead proof-of-concepts and pilots for innovative data solutions, including AI/ML enablement

* Develop the technical foundation to support advanced analytics and machine learning initiatives

* Guide the evolution of our data architecture to support real-time and streaming use cases

* Stay current with industry trends and incorporate best practices into our data ecosystem

Job Qualifications:

* Bachelor's degree from an accredited institution or equivalent professional experience with demonstrated capability.

* 8+ years of progressive experience in data engineering, data architecture, or related technical roles

* 5+ years of leadership experience managing data engineering teams and initiatives

* Extensive experience with modern data platforms, particularly Snowflake and cloud-based data solutions

* Deep understanding of data modeling techniques including Data Vault, dimensional modeling, and data mesh concepts

* Hands-on experience with ETL/ELT tools like Matillion and data integration patterns

* Strong…