Honor - Staff Data Platform Engineer
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. • What's Next? • What's Next? • Sound like a fit? Apply below! • Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. • Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.
Responsibilities
• Build and Evolve Our AWS-Native Data Platform • 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. • Own Data Orchestration and Data Engineering Foundations • 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. • Enable Trusted Data Access Through Governance and AI Readiness • 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. • Drive Reliability, Observability, and Operational Excellence • 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. • Lead Through Technical Influence and Partnership • 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.
Benefits
• $194,000—$220,000 USD • At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT