Note: The job is a remote job and is open to candidates in USA. Honor is a leader in aging care innovation, providing technology and services for older adults. They are seeking a Staff Data Platform Engineer to build and evolve their AWS-native data platform, enabling analytics and AI capabilities while driving platform strategy and architecture.
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
Skills
- 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
Benefits
- Generous equity packages that increase with position level and responsibilities
- 401K with up to a 4% employer match
- 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
- Generous time off program
- Mental health benefits
- Wellness program
- Discount program
Company Overview
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