Cotality · 18 hours ago
Director of Data Engineering & Platforms
United States
Full-time
Remote
Senior Level, Lead/Staff
$135K/yr - $192K/yr
8+ years expCotality is a leading company in property intelligence, dedicated to making the property industry more efficient and people-centric. They are seeking a remote Director of Data Engineering & Platforms to lead data transformation initiatives and establish robust data architecture frameworks, while collaborating with various teams to turn raw data into actionable business intelligence.
Property InsuranceReal EstateSoftware
Responsibilities
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
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
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 DevOps practices within the data engineering discipline
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
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
Qualification
Required
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 knowledge of SQL Server, Cosmos DB, and database technologies
Experience with Power BI or similar BI platforms and understanding of reporting architectures
Proven track record implementing data governance, quality, and metadata management solutions
Experience partnering with product teams and translating business requirements into technical solutions
Preferred
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Experience with Python, Spark, or other data processing frameworks
Knowledge of CI/CD practices and DevOps for data pipelines
Familiarity with AI/ML tooling and data preparation for machine learning
Experience with real-time data integration and streaming architectures
Background in implementing data security and privacy controls
Understanding of API design and microservices architectures
Experience in the insurance, financial services, or real estate industries
Benefits
Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Up to 16 weeks of fully paid parental leave and a baby stipend.
Multiple medical plan options with mental health and wellness support offerings.
401(k) with company match and vesting after one year.
$400 annual well-being stipend and tuition assistance up to $5,250.
Recognition Rewards, Referral bonuses, exclusive discounts and more!
Company
Cotality
Cotality is a technology firm helping property professionals with data, valuations, surveys and retrofit solutions.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$1.63MKey Investors
Finance Birmingham
2018-02-12Acquired
2016-07-05Series Unknown· $1.63M
Recent News
2026-01-22
2026-01-11
Company data provided by crunchbase