Staff Data Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the architecture and development of scalable, secure, and cost-effective data platforms on AWS.

• Design and enhance our Data Warehouse to accommodate increasing analytical, operational, and AI-driven workloads.

• Establish and execute Infrastructure-as-Code standards utilizing AWS CDK.

• Create and manage scalable orchestration frameworks with Airflow and FiveTran.

• Collaborate with the Data Analytics team to set data modeling standards and transformation methodologies using dbt.

• Develop reusable and maintainable data pipelines and workflows that facilitate rapid development and dependable operations.

• Implement governance, metadata, lineage, and access patterns that enhance data discoverability, trustworthiness, and usability.

• Assist in defining secure access and utilization of company data for both employees and AI-driven systems.

• Lay the groundwork for self-service analytics and future agentic workflows throughout the organization.

• Set monitoring, alerting, and observability standards using Datadog and contemporary platform engineering practices.

• Construct scalable data quality frameworks that ensure confidence in critical business data.

• Continuously enhance platform reliability, performance, and cloud cost efficiency.

• Collaborate closely with Data Science, Analytics, Product, and Engineering teams to address complex business challenges through data.

• Provide technical leadership, architectural insight, and mentorship within the data organization.

• Shape long-term platform strategy and engineering best practices across multiple teams.

⛳️ Requirements

• 8–10+ years of experience in constructing and managing large-scale data platforms, pipelines, and warehouses in cloud environments, with extensive expertise in AWS.

• Proven history of leading complex technical projects and influencing architectural decisions across teams.

• Strong foundation in software engineering and experience in building production-grade systems.

• In-depth knowledge of modern data warehousing, ELT/ETL architectures, and data platform design.

• Experience in operating data platforms with a focus on reliability, observability, data quality, and cost optimization.

• Proven capability to utilize modern AI-assisted and agentic development tools to architect, build, and maintain production-grade systems.

• Experience collaborating with data scientists, analysts, product managers, and software engineers to achieve business objectives.

• Demonstrated ability to navigate ambiguity, foster alignment, and lead by influence rather than authority.

• Enthusiasm for creating 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