Vind vacatures die bij jouw situatie passen.

At Nutanix, the Data Analytics team is a dynamic group of over 50 collaborative and innovative professionals spread across the US and India. This diverse team consists of data scientists, analysts, and engineers who work together to drive insights and enhance decision-making through data-driven strategies. The culture within the team fosters open communication, encourages fresh ideas, and values each member's contribution, making it an exciting environment for those passionate about analytics and technology.

You will report to the Sr. Director of Data Analytics, who prioritizes mentorship and professional development while leading a supportive team environment. This position is a hybrid role, requiring you to work in the office for three days a week at our headquarters in San Jose, CA, providing the opportunity to collaborate in person with your colleagues while also allowing for flexibility. Travel requirements for this role are minimal, ensuring you can focus on your work without frequent disruptions.

• Information Technology
• San Jose, United States
• 31814

Are you a visionary data architect with a passion for turning innovative designs into scalable, production-ready solutions? If so, you will thrive in our dynamic team at Nutanix, where you will have the opportunity to shape cutting-edge data platform architecture, drive enterprise-level data strategies, and collaborate with talented professionals to enable impactful analytics and machine learning initiatives.

We are seeking a hands-on, driven, and innovative Senior / Staff Data Platform Architect to define, build, and scale the enterprise data platform foundation. This role requires an architect who can move from strategy to working solutions — shaping the roadmap, setting engineering standards, and driving complex designs into production.

The role leads core platform architecture across ingestion, storage, compute, orchestration, security, governance integration, observability, and operations. The successful candidate will build a resilient, secure, AI-ready platform that enables Data Engineering, BI, Analytics, and ML/AI teams to deliver trusted data products at enterprise scale.

This role owns technical data platform architecture, engineering frameworks, and production-grade solution delivery. It does not own enterprise semantic-layer design, KPI harmonization, business metric definitions, dashboard interpretation standards, or business terminology governance; those responsibilities remain with the analytics / semantic-layer architecture function.

• 12+ years of experience in data architecture, engineering, or related fields; 5+ years in large-scale data platforms.
• Proficient in designing and implementing solutions using SQL, Apache Spark, ETL/ELT frameworks, and orchestration tools.
• Strong understanding of data storage formats, lifecycle management, and performance optimization techniques.
• Hands-on experience with cloud technologies and platforms like Kubernetes, Trino, Dremio, and Informatica.
• Expertise in implementing security controls such as RBAC, encryption, and audit logging for data governance.
• Ability to drive architectural decisions and collaborate with cross-functional teams effectively.
• Experience with DevOps practices, CI/CD, and infrastructure-as-code for seamless data platform operations.
• Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred.

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between USD $ 179,000 and USD $ 359,000 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

• Accounting & Finance
• San Jose, United States

• Engineering
• San Jose, United States

• Engineering
• San Jose, United States

After all those discussions its time for both you and our hiring teams to make some decisions. Your Talent Advisor will be your main point of contact during this period. Be sure to keep them informed of any outstanding questions or timing milestones that are important to you.

We value standout performers, ambitious team players, and long-term thinkers who know how to connect the dots to get results. If you're a little customer obsessed, you've found your tribe. Are you a game changer? Let us see that in your application.

Our talent advisors review every application we receive and we'll follow up with next steps and guidance at every phase. Overall you can expect 1-2 rounds of talks with our hiring leaders after your initial chat with your Talent Advisor.