Principal Data Engineer

February 15

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+4 more states

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote 🗽 New York – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $205k - $249.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Kin

WebsiteLinkedInAll Job Openings

Where creativity meets impact, we partner with brands, organizations, and innovators to create bold, transformative, and purposeful work.

2 - 10 employees

📋 Description

• Lead the overall data architecture design, including ingestion, storage, management, and machine learning engineering platforms. • Implement the architecture and create a vision for how data will flow through the organization using a federated approach. • Manage data governance across multiple systems: data mastering, metadata management, data definitions, semantic-layer design, data taxonomies, and ontologies. • Architect and deliver highly scalable, flexible, and cost-effective enterprise data solutions that support the development of architecture patterns and standards. • Help define the technology strategy and roadmaps for the portfolio of data platforms and services across the organization. • Ensure data security and compliance, working within industry regulations. • Design and document data architecture at multiple levels across conceptual, logical, and physical views. • Provide “hands-on” architectural guidance and leadership throughout the entire lifecycle of development projects. • Translate business requirements into conceptual and detailed technology solutions that meet organizational goals. • Collaborate with other architects, engineering directors, and product managers to align data solutions with business strategy. • Lead proof-of-concept projects to test and validate new tools or architectural approaches. • Stay current with industry trends, vendor product offerings, and evolving data technologies. • Cross-train peers and mentor team members to share knowledge and build internal capabilities.

🎯 Requirements

• 10+ 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 • 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 • 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 • Experience working with data integration tools and Kafka for real-time data streaming • Expertise in dbt for transformations, pipelines, and data modeling • Experience with data analytics, BI, data reporting and data visualization • Experience with the insurance domain is a plus

🏖️ Benefits

• Medical • Dental • Vision • Life Insurance and Disability Insurance options • Employee Assistance Program • accident insurance • hospital indemnity • critical illness • legal assistance • pet insurance • Competitive salary and equity • 401K with company match of up to 4% • Flexible PTO for exempt employees, along with 8 company-observed holidays • A paid parental leave program that provides 100% salary continuation of up to 14 weeks for birthing parents and 8 weeks for non birthing parents • Continuing education and professional development opportunities