Staff Data Platform Engineer

Honor is a leader in aging care innovation, providing technology and services that empower older adults to live independently. The Staff Data Platform Engineer will shape the future of Honor's data platform, focusing on building foundational systems for analytics, machine learning, and operational decision-making.

Responsibilities:

• Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS
• Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads
• Define and implement Infrastructure-as-Code standards using AWS CDK
• Design and operate scalable orchestration frameworks using Airflow and FiveTran
• Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt
• Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation
• Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use
• Help define how both employees and AI-powered systems safely access and leverage company data
• Build the foundations that enable self-service analytics and future agentic workflows across the organization
• Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices
• Build scalable data quality frameworks that ensure confidence in business-critical data
• Continuously improve platform reliability, performance, and cloud cost efficiency
• Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data
• Provide technical leadership, architectural guidance, and mentorship across the data organization
• Influence long-term platform strategy and engineering best practices across multiple teams

Requirements:

• 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS
• Proven track record leading complex technical initiatives and influencing architecture across teams
• Strong software engineering fundamentals and experience building production-grade systems
• Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design
• Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization
• Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems
• Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact
• Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority
• Passion for building platforms that empower others and scale organizational impact
• Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK
• Experience designing data governance, metadata, lineage, or self-service data platforms
• Experience supporting AI, machine learning, or agentic workflow initiatives
• Experience leading platform modernization efforts in high-growth environments
• Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager