Director of Data Engineering & Platforms

CoreLogic • Milwaukee, WI

1d • $134,400 - $192,000 • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Director