Staff Data Platform Engineer
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Job Description
Staff Data Engineer developing and evolving AWS-native data platform for Honor’s aging care solutions. Leading architecture, strategy, and implementation to empower data-driven 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.
Benefits:
- Equity packages
- 401K with up to a 4% employer match
- Medical, dental and vision coverage including zero cost plans
- Short Term Disability
- Long Term Disability
- Life Insurance (fully employer paid)
- Voluntary additional Life Insurance option
- Generous time off program
- Mental health benefits
- Wellness program
- Discount program
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