Lead Software Engineer (Data Platforms)

Lead Software Engineer – Data Platform & AIPay Range: $80/hour to $93/hourOverviewWe are seeking an experienced Lead Software Engineer to join a high-impact Data Foundation Platform team supporting large-scale data engineering and analytics initiatives. This role focuses on building cloud-based tools, services, and platforms used by data engineers, analysts, and data scientists to process and manage large-scale streaming and web data environments.The ideal candidate brings deep expertise in software engineering, data infrastructure, metadata governance, and AI-enabled platform development. This position requires strong technical leadership, hands-on engineering capabilities, and experience designing scalable solutions end-to-end.Key ResponsibilitiesDesign, develop, and maintain scalable full-stack data infrastructure and platform services.Build and enhance internal tools supporting metadata management, governance, lifecycle management, and cost management.Architect reusable APIs, shared libraries, and UI component frameworks across data platform ecosystems.Develop user-facing applications and dashboards using modern frontend technologies.Implement cloud-native solutions and automated deployment pipelines within AWS or comparable cloud environments.Collaborate with cross-functional teams including product managers, architects, data scientists, analysts, and engineering teams.Drive technical strategy, system design decisions, and platform scalability initiatives.Mentor engineers through code reviews, architecture reviews, and technical leadership.Support operational excellence, platform reliability, and agile development processes.Contribute to AI-enabled platform capabilities using technologies such as Bedrock, Cortex AI, or similar solutions.Required Qualifications12+ years of professional software engineering experience delivering production-scale systems.Strong experience in both software engineering and data engineering environments.Expertise with metadata management and data governance systems.Hands-on experience with AI tools and AI-powered engineering platforms such as Bedrock, Cortex AI, or related technologies.Strong programming skills in at least one core language such as Python, TypeScript, or Java.Experience building and operating distributed systems at scale.Experience with AWS cloud services, CI/CD pipelines, infrastructure-as-code, and deployment automation.Ability to design and implement features end-to-end across backend, frontend, and infrastructure layers.Strong leadership, communication, and collaboration skills.Preferred QualificationsExperience with internet-scale platforms and high-throughput distributed systems.Hands-on experience with technologies such as: AirflowSparkDatabricksSnowflakeDelta LakeOpenSearchNeptuneGraphQLReactTypeScriptExperience with data catalog and governance platforms such as Acryl DataHub or Alation.Familiarity with PII governance, compliance, and data lifecycle management.Experience with knowledge graph systems and graph-based architectures.