Senior Data Engineer II, Data Platforms

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

📋 Description

• Establish data architecture principles and engineering standards across a vital data domain.

• Oversee the design and execution of large-scale, mission-critical data projects.

• Steer architectural decision-making across various teams and platforms.

• Advocate for pipeline monitoring, data quality, lineage management, and operational excellence.

• Set measurable service objectives and data reliability benchmarks.

• Develop frameworks that proactively identify and mitigate data issues.

• Design and enhance distributed data processing solutions for analytics, product, and AI workloads.

• Enhance infrastructure, tooling, and the overall developer experience.

• Drive platform modernization and performance optimization on a large scale.

• Mentor engineers across teams in system design, engineering excellence, and contemporary development practices.

• Conduct technical reviews and guide architectural decision-making.

• Foster continuous improvement and shared learning.

• Set standards for the responsible and effective use of AI throughout the engineering lifecycle.

• Assess AI-enabled engineering capabilities and identify ways to expedite delivery.

• Assist teams in adopting AI tools while upholding quality, validation, and governance standards.

⛳️ Requirements

• Extensive experience in building and managing modern data platforms utilizing Python, SQL, and cloud-native technologies.

• Profound knowledge of distributed data processing, orchestration frameworks, streaming architectures, and data platform operations.

• Proven track record of leading technical initiatives across multiple teams.

• Demonstrated expertise in defining architectural patterns, engineering standards, and platform best practices.

• Strong systems-thinking approach.

• Proficiency in collaborating with stakeholders to convert business needs into scalable technical solutions.

• Advanced understanding of AI capabilities, limitations, and responsible integration in engineering workflows.

• Experience with AI-powered development tools.

• Excellent communication skills for influencing technical direction through collaboration, documentation, and mentorship.

• Must possess valid authorization to work in the United States.

• Successful candidates will need to complete pre-employment checks, including ID verification, reference requests, and qualification checks.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance.

• Disability and life insurance coverage.

• Retirement savings plans with employer contributions.

• Wellbeing resources available.

• Flexible paid time off.

• Employee assistance programs.

• Opportunities for professional development.

• Access to an internal development hub.

• Learning & Development trainers provided.

• AI-powered tools available.

• Opportunities for cross-continent collaboration.

• 401(k) plan with company match.

• Employer-paid life, AD&D, Short-Term Disability & Long-Term Disability Insurance.

• Flexible Open PTO policy.

• Paid Sick Leave offered.

• Paid Parental Leave available.

• RTD EcoPass for eligible Colorado-based employees.