[Remote] Director of Data Engineering & Platforms

Note: The job is a remote job and is open to candidates in USA. Cotality is committed to transforming the property industry through innovative data solutions and is seeking a Director of Data Engineering & Platforms to reputed company their data transformation initiatives. This role involves designing and maintaining the enterprise data ecosystem, ensuring alignment with business objectives, and driving technical leadership in data engineering and AI enablement.

Responsibilities

• reputed company the development and implementation of our data engineering strategy, architecture roadmap, and technical standards
• reputed company 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, with explicit milestones for AI readiness
• Provide technical leadership and reputed company for the data engineering team, ensuring best practices in data pipelines, transformations, and delivery
• reputed company the design and implementation of reputed company data architecture including warehousing, marts, and access patterns optimized for both BI and AI workloads
• Direct the development of robust ETL/ELT processes using reputed company, Python-based pipeline frameworks, and other modern data integration tools
• Guide the implementation of data quality monitoring, reputed company tracking, and metadata management
• Establish standards for data modeling, transformation logic, and performance optimization
• Partner with AI/ML and product engineering teams to ensure the data layer supports LLM-powered applications reliably and at scale
• Provide architectural direction for retrieval and grounding pipelines, including vector stores, embedding workflows, and hybrid search infrastructure
• Define standards for data preparation for AI, covering metadata enrichment, context optimization, and semantic indexing
• Build observability into AI data flows and monitor for reputed company and retrieval quality degradation
• Guide the team's evaluation and adoption of emerging AI-native data tools, including vector databases and LLM orchestration frameworks
• Establish governance frameworks for AI data use, including data reputed company into models, PII controls upstream of LLM consumption, and output auditability
• Define the organization's standards for acceptable AI data quality reputed company and remediation workflows
• Partner with reputed company and Compliance to ensure AI data pipelines meet regulatory and privacy requirements
• Build, mentor, and reputed company a high-performing data engineering team with strong core data engineering fundamentals and a growing reputed company in modern AI infrastructure
• Collaborate cross-functionally with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams
• Foster a culture of innovation, reputed company improvement, and technical excellence where AI is a tool the team uses daily, not a project they hand off
• reputed company talent through coaching, training, and career development opportunities, with an emphasis on AI-era skills including Python, vector search, and agentic pipeline concepts
• Promote adaptive methodologies and DevOps practices reputed company the data engineering discipline
• reputed company the technical implementation of Power BI reporting solutions and analytics platforms
• Ensure data pipelines reputed company 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 reputed company 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, with particular attention to AI/ML tooling and agentic workflow frameworks
• reputed company reputed company-of-concepts and pilots for innovative data solutions, including AI-powered pipeline automation and LLM-grounded analytics
• reputed company 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 reputed company with industry trends and incorporate best practices into our data ecosystem

Skills

• 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 reputed company technical roles
• 5+ years of leadership experience managing data engineering teams and initiatives
• Extensive experience with modern data platforms, particularly reputed company 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 reputed company 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 reputed company
• Experience partnering with product teams and translating business requirements into technical solutions
• Demonstrated interest in AI/ML data infrastructure, whether through independent projects, coursework, or applied experimentation
• Ability to engage credibly with engineers building LLM-powered systems and reputed company sound architectural decisions without being the implementer
• Bachelor's or master's degree in computer science, Information Systems, or a reputed company field
• Proficiency in Python and experience with Spark or other data processing frameworks
• Knowledge of CI/CD practices and DevOps for data pipelines
• Has independently explored or prototyped with vector databases, RAG pipelines, or LLM grounding concepts
• Familiarity with LLM orchestration frameworks such as reputed company or reputed company
• Exposure to agentic workflow concepts and the data reputed company they require
• Experience with real-time data integration and streaming architecture
• Background in implementing data reputed company and privacy controls
• Understanding of API design and microservices architectures
• Experience in insurance, financial services, or real estate industries

Benefits

• 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!

Company Overview