Staff Data Platform Engineer

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Honor

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🧘 Wellness

👥 B2C

Healthcare Insurance • Wellness • B2C

Honor is a leader in the world's largest home care network with a highly advanced care platform. The company is revolutionizing the way society cares for older adults, providing them, their families, and Care Professionals with innovative support. Honor aims to expand the world's capacity to care by addressing the challenges of a growing aging population, enabling older adults to age at home on their own terms. Through its flagship brand, Home Instead, and the Honor Care Network, the company operates globally, offering solutions to ensure professional and high-quality home care services. Honor develops technologies that professionalize care providers, enhance relationships between clients and caregivers, and streamline care operations, creating a better aging experience for everyone.

📋 Description

• 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