Sr. Data Platform Architect
About the role
The Opportunity 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.
Responsibilities
- Lead the design and implementation of a scalable, resilient enterprise data platform integrating advanced technologies and best practices.
- Establish and enforce architecture standards for data ingestion, storage, processing, and security to drive efficient operations and data quality.
- Collaborate cross-functionally with Data Engineering, BI, Analytics, and ML/AI teams to create streamlined access to trusted data.
- Construct reusable engineering frameworks for efficient ETL/ELT processes, automation, and data lifecycle management.
- Drive observability and performance optimization strategies, ensuring the platform meets defined reliability and performance objectives.
- Mentor engineering teams on scalable design principles, production-readiness, and operational excellence to foster a culture of innovation.
- Evaluate and assess emerging technologies, leading proof-of-concepts to identify opportunities for platform enhancements and future scalability.
- Set clear first-year objectives, including successful deployment of key platform features, improved data quality metrics, and enhanced operational monitoring systems.
Requirements
- 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.
Qualifications
- Experience with data modeling, data warehousing, and data governance.
- Knowledge of data privacy regulations and compliance requirements.
- Experience with data visualization tools and platforms.
- Experience with data integration and data migration projects.
- Experience with data security and data protection measures.
Skills
- Data architecture and design.
- Data engineering and data science.
- Cloud computing and big data technologies.
- DevOps and continuous integration/continuous deployment (CI/CD).
- Observability and performance monitoring.
- Collaboration and teamwork.
- Problem-solving and critical thinking.
Benefits
Our benefits package includes:
- Health insurance coverage.
- Retirement savings plan with employer contributions.
- Flexible spending accounts.
- Time off and paid holidays.
- Professional development opportunities.
- Employee assistance programs.
Pay
The pay range for this position at commencement of employment is expected to be between USD $ 179,200 and USD $ 299,000 per year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
Schedule
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.