Jobs / Honor
Staff Data Platform Engineer
Honor · United States · Remote
United StatesExp: 8-10 yrs194,000-220,000 USD/yearlyRemote
Remuneration
194,000-220,000 USD/yearly
Location
United States · Remote
Visa sponsorship
Not specified
Job summary
Honor is seeking a Staff Data Engineer to lead the architecture and development of its AWS-native data platform. This role involves building foundational data systems for analytics, machine learning, and AI capabilities, and driving platform strategy as a senior technical leader. The position focuses on modernizing the data platform, implementing cloud-native AWS services, and establishing data governance for AI-powered workflows.
Benefits
Equity packages401K with up to a 4% employer matchMedical coverageDental coverageVision coverageZero cost health plans for employeesShort Term DisabilityLong Term DisabilityLife Insurance (employer paid)Voluntary additional Life Insurance optionGenerous time off programMental health benefitsWellness programDiscount program
Qualifications
- 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
- 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
Responsibilities
- Lead architecture and development of scalable, secure, and cost-efficient data platforms on AWS
- Architect and optimize the Data Warehouse for 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 Data Analytics team to establish data modeling standards and transformation practices using dbt
- Build reusable, maintainable data pipelines and workflows for rapid development and reliable operation
- Establish governance, metadata, lineage, and access patterns for discoverable, trustworthy, and easy-to-use data
- Define how employees and AI-powered systems safely access and leverage company data
- Build foundations for self-service analytics and future agentic workflows
- Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices
- Build scalable data quality frameworks to ensure confidence in business-critical data
- Continuously improve platform reliability, performance, and cloud cost efficiency
- Partner 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
Skills
AirflowAWSAWS CDKDatadogdbtPythonRedshift
Industry
Non-medical home care
Relocation
No