Honor
Technology
StaffDataPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Platform Engineer at Honor. Skills: Data Platform Engineering, AWS Cloud, Data Architecture, AI Readiness. Lead architecture and development. Architect and optimize Data Warehouse”
Industry & Context.
Solve complex problems
What They're Looking For.
Must Have
8–10+ years building data platforms, Experience building production-grade systems, Experience operating data platforms, Experience leveraging AI tools
Nice to Have
Hands-on Python experience, Amazon Redshift experience, AWS-native ETL experience, ZeroETL experience, DMS experience, Airflow experience, dbt experience, Datadog experience, Fivetran experience, AWS CDK experience, Data governance platform experience, Metadata platform experience, Self-service data platform experience, Supporting AI initiatives, Supporting ML initiatives, Supporting agentic workflow initiatives, Platform modernization experience, Staff Engineer experience, Principal Engineer experience, Technical Lead experience, Engineering Manager experience
What You'll Do.
Lead architecture and development
Architect and optimize Data Warehouse
Define and implement IaC standards
Design and operate orchestration frameworks
Partner to establish data modeling standards
Partner to establish transformation practices
Build reusable data pipelines
Build maintainable data workflows
Establish governance patterns
Establish metadata patterns
Establish lineage patterns
Establish access patterns
Help define data access
Build foundations for self-service analytics
Build foundations for agentic workflows
Establish monitoring standards
Establish alerting standards
Establish observability standards
Build data quality frameworks
Improve platform reliability
Improve platform performance
Improve cloud cost efficiency
Partner to solve business problems
Provide technical leadership
Provide architectural guidance
Influence platform strategy
Influence engineering best practices
How You'll Work.
Team & Collaboration
Data Science teams; Analytics teams; Product teams; Engineering teams; Cross-functional teams
Full Job Description
Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. About Us Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U. S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. The Opportunity We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senio
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