Pax8 nodrošina B2B mākoņpakalpojumu tirdzniecības platformu un SaaS risinājumu pārvaldīto pakalpojumu sniedzējiem un mazajiem uzņēmumiem. Tās rīki palīdz atrast, iegādāties, ieviest un pastāvīgi pārvaldīt mākoņrisinājumus, apvienojot piekļuvi piegādātāju tirgum, abonementu un norēķinu pārvaldību, drošības risinājumus, Academy apmācības un profesionālos pakalpojumus. Platforma ir izstrādāta, lai palīdzētu partneriem vienkāršot mākoņpakalpojumu darbību, paplašināt piedāvājumu un efektīvāk atbalstīt klientus.
Senior Data Engineer II, Data Platforms
Shape scalable, AI-enabled data platforms for Pax8’s global cloud marketplace. Set architecture, reliability standards, and engineering practices across teams.
Amerikas Savienotās Valstis175 000 $ – 225 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženierisApraksts
- Set data architecture principles and engineering standards for a critical data domain
- Lead the delivery of large-scale, business-critical data initiatives
- Steer architectural decisions across teams and platforms
- Oversee pipeline monitoring, data quality, lineage, and operational excellence
- Set measurable service objectives and data reliability standards
- Build frameworks to detect and prevent data issues proactively
- Design and evolve distributed data processing for analytics, product, and AI workloads
- Improve infrastructure, tools, and developer experience
- Drive platform modernization and performance improvements at scale
- Mentor engineers in system design, engineering quality, and modern development practices
- Lead technical reviews and architectural discussions
- Encourage continuous improvement and shared learning
- Set standards for responsible, effective AI use across the engineering lifecycle
- Assess AI-enabled engineering tools and identify ways to speed up delivery
- Help teams adopt AI tools while upholding quality, validation, and governance standards
Prasības
- Extensive experience building and operating modern data platforms with Python, SQL, and cloud-native technologies
- Strong knowledge of distributed data processing, orchestration frameworks, streaming architectures, and data platform operations
- Track record of leading technical initiatives across multiple teams
- Experience establishing architectural patterns, engineering standards, and platform best practices
- Strong systems-thinking ability
- Skill in working with stakeholders to turn business needs into scalable technical solutions
- Advanced understanding of AI capabilities, limitations, and responsible use in engineering workflows
- Experience with AI-powered development tools
- Strong communication skills to shape technical direction through collaboration, documentation, and mentoring
- Valid authorization to work in the United States is required
- Must pass pre-employment checks, including identity verification, reference requests, and qualification checks
Priekšrocības
- Medical, dental, and vision coverage
- Disability and life insurance
- Retirement savings plans with employer contributions
- Wellbeing resources
- Flexible paid time off
- Employee assistance programs
- Professional development opportunities
- Internal development hub
- Learning and Development trainers
- AI-powered tools
- Collaboration across continents
- 401(k) with company match
- Employer-paid life, AD&D, short-term disability, and long-term disability insurance
- Flexible open paid time off
- Paid sick leave
- Paid parental leave
- RTD EcoPass for eligible employees based in Colorado