Data Platform Architect

6 days ago

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Kin

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Description

• Kin is on a mission to change home insurance from what it is to what it should be. • You will lead the design, development, and implementation of data-centric solutions to drive actionable insights and enhance decision-making processes. • Collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle. • Manage data governance across multiple systems: data mastering, metadata management, data definitions, semantic-layer design, data taxonomies, and ontologies. • Deliver highly scalable, flexible, and cost-effective enterprise data solutions that support the development of architecture patterns and standards.

Requirements

• 15+ years of experience in designing & architecting data systems, warehousing and/or ML Ops platforms • Proven experience in the design and architecture of large-scale data systems, including lakehouse and machine learning platforms, using modern cloud-based tools • You can talk the talk and walk the walk! Can communicate effectively with executives and team • Architect and implement solutions using Databricks for advanced analytics, data processing, and machine learning workloads • Expertise in data architecture and design, for both structured and unstructured data. Expertise in data modeling across transactional, BI and DS usage models • Fluency with modern cloud data stacks, SaaS solutions, and evolutionary architecture, enabling flexible, scalable, and cost-effective solutions • Expertise with all aspects of data management: data governance, data mastering, metadata management, data taxonomies and ontologies • Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions • Proven ability to develop and implement data architecture roadmaps and comprehensive implementation plans that align with business strategies • Experience working data integration tools and Kafka for real-time data streaming to ensure seamless data flow across the organization • Expertise in Databricks for advanced analytics, data processing, and machine learning workloads • Experience with data analytics, BI, data reporting and data visualization • Experience with the insurance domain is a plus

Benefits

• Medical, Dental, Vision, Disability and Life Insurance • Flexible PTO policy • Remote work • Generous equity package • 401K with company match • Parental leave • Continuing education and professional development • The excitement of joining a high-growth Insurtech company and seeing your work make an impact