Sr. Data Architect - Analytics & Semantic Layer

About the role

The Opportunity Sr. Data Architect - Analytics & Semantic Layer is a forward-thinking role at Nutanix. You'll be part of a dynamic team of over 50 professionals working on analytics and decision-making, with a focus on transitioning to AI-enabled solutions.

Responsibilities

• Architect and implement a robust enterprise semantic layer that standardizes business logic across all domains.
• Collaborate with key stakeholders to define and harmonize essential business metrics, dimensions, and interpretations.
• Facilitate the transition from traditional reporting methods to innovative, AI-driven analytics solutions.
• Identify and integrate AI capabilities into analytics workflows to enhance insights and streamline decision-making processes.
• Establish and enforce standards for semantic modeling, governance, and lifecycle management across the organization.
• Drive stakeholder engagement initiatives to promote adoption of semantic standards and ensure consistent usage of analytic tools.
• Resolve inconsistencies in KPIs and improve the reliability of dashboards and analytics outputs.
• Achieve a unified understanding of business terminology and metrics, fostering organizational alignment and trust in analytics.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field; Master’s degree preferred.
• 10+ years of experience in analytics architecture, business intelligence, or enterprise analytics transformation.
• Proven expertise in designing and implementing scalable semantic models and governed analytical layers.
• Strong ability to translate complex business concepts into usable analytical structures with effective metrics standardization.
• Experience in cross-domain collaboration to define shared metrics and resolve KPI inconsistencies.
• Knowledge of practical applications of AI in analytics, ensuring trust and governance.
• Exceptional interpersonal, written, and verbal communication skills for engaging both technical and business stakeholders.
• Proficiency in data governance, metadata management, and enhancing self-service analytics through user-friendly data models.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field; Master’s degree preferred.
• 10+ years of experience in analytics architecture, business intelligence, or enterprise analytics transformation.
• Proven expertise in designing and implementing scalable semantic models and governed analytical layers.
• Strong ability to translate complex business concepts into usable analytical structures with effective metrics standardization.
• Experience in cross-domain collaboration to define shared metrics and resolve KPI inconsistencies.
• Knowledge of practical applications of AI in analytics, ensuring trust and governance.
• Exceptional interpersonal, written, and verbal communication skills for engaging both technical and business stakeholders.
• Proficiency in data governance, metadata management, and enhancing self-service analytics through user-friendly data models.

Skills

• Expertise in semantic modeling and governance.
• Ability to integrate AI capabilities into analytics workflows.
• Strong collaboration and stakeholder engagement skills.
• Effective metrics standardization and KPI resolution.
• Data governance and metadata management proficiency.
• Ability to enhance self-service analytics through user-friendly data models.

Benefits

• Hybrid work arrangement with 3 days in the office per week at Nutanix HQ in San Jose, CA.
• Minimal travel requirements, ensuring focus on work without frequent disruptions.
• Competitive compensation range of USD $179,200 to USD $299,000 per year at commencement of employment.
• Additional benefits may include a sign-on bonus, restricted stock units, and discretionary awards.
• Full range of medical, financial, and/or other benefits, including 401(k) eligibility and various paid time off benefits.

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.