Data Platform Engineer II

Responsibilities

• Drive the roadmap, adoption, and continuous improvement of enterprise ingestion, data, and orchestration tools and platforms.
• Partner with Data Engineering, Integration, Architecture, Infrastructure, Security, Governance, and Data Analytics teams to enable scalable, secure, and reliable platform capabilities.
• Lead data and analytics tool and platform lifecycle activities including roadmap planning, releases, upgrades, vendor engagement, automation, and modernization initiatives.
• Design, implement, and support CI/CD frameworks, deployment automation, and engineering standards that improve delivery speed, quality, and consistency.
• Develop reusable tooling, templates, automation solutions, and self-service capabilities that enhance developer productivity and platform adoption.
• Establish and evolve software development lifecycle (SDLC) standards, deployment governance, source control practices, and engineering best practices.
• Support and enhance enterprise ingestion capabilities, including a custom Python-based ingestion framework and related platform technologies.
• Evaluate emerging technologies and platform capabilities, providing recommendations that align with enterprise data and analytics strategy.
• Create and maintain technical documentation, onboarding materials, training resources, runbooks, and operational standards.
• Partner with delivery teams to improve tool and platform utilization, reduce operational friction, and accelerate solution delivery.
• Implement and enhance tool and platform observability, monitoring, reliability, and operational support capabilities.
• Collaborate with software vendors and external partners to support roadmap planning, platform enhancements, issue resolution, and adoption initiatives.
• Serve as a technical leader and trusted advisor for enterprise data and analytics tooling, standards, automation, and developer enablement initiatives.

Qualifications

• Required: Bachelor’s degree in computer science, MIS, engineering, or related field, and significant experience supporting enterprise data, analytics, and technology platforms.
• 7+ years of experience supporting or enabling enterprise data, analytics, ingestion, orchestration, engineering, DevOps, cloud, or related technology tools and platforms.
• Experience establishing and advancing tool and platform roadmaps, release strategies and coordination, standards, operational practices, and vendor engagement activities for enterprise data and analytics tools.
• Experience driving platform adoption, developer enablement, and engineering productivity through automation, documentation, self-service capabilities, and training.
• Experience designing, implementing, and supporting CI/CD frameworks, deployment automation, source control practices, and software development (SDLC) standards.
• Experience evaluating platform capabilities, defining technical standards, and influencing platform direction across multiple engineering teams.
• Experience implementing developer enablement programs, technical documentation, onboarding frameworks, and self-service tooling.
• Experience developing automation solutions using Python, SQL, scripting, or related technologies.
• Applicants must not now, or at any time in the future, require sponsorship for a work visa.
• Applicants must be authorized to work in the United States for any employer.