Staff Data Platform Engineer

Build and Evolve Our AWS-Native Data Platform

• 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.

Own Data Orchestration and Data Engineering Foundations

• 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.

Enable Trusted Data Access Through Governance and AI Readiness

• 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.

Drive Reliability, Observability, and Operational Excellence

• 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.

Lead Through Technical Influence and Partnership

• 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.

What We're Looking For

• 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.

Preferred Qualifications

• 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.