Staff Data Platform Engineer

Honor

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.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesLead💰 $194,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudETL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSData WarehouseInfrastructure-as-CodeAWS CDKAirflowFiveTrandbtdata pipelinesdata quality frameworksELT/ETL architectures

Soft Skills

technical leadershiparchitectural guidancementorshipinfluenceproblem-solvingnavigating ambiguitydriving alignmentcollaborationpassion for empowermentscaling organizational impact