Title:  Director, Software Engineer

Job Summary

NetApp is seeking a visionary and strategic Director of Data Engineering to lead the data engineering function within the Keystone business unit. This leader will be responsible for shaping and executing the data engineering strategy that powers our customer-facing services, ensures platform reliability, and drives business-critical insights through scalable, real-time data solutions. The ideal candidate will be a seasoned leader who combines deep technical expertise with proven success in managing high-performing teams and aligning data infrastructure with company goals

Job Responsibilities

Key Responsibilities:
 
Strategic Leadership & Vision:
 
Define and lead the data engineering roadmap aligned with Keystone’s business and technology objectives.
Champion data-driven decision making across Keystone by evangelizing best practices in data engineering, governance, and infrastructure.
Identify emerging technologies and trends to inform strategic investments and innovation.
 
 
Data Infrastructure & Architecture Oversight:
 
Guide the design and evolution of scalable, secure, and highly available data platforms and real-time processing pipelines.
Oversee the development and optimization of ETL/ELT processes, data models, and data quality frameworks.
Ensure architecture supports both operational reporting and advanced analytics use cases.
 
 
Operational Reliability & Performance:
 
Own the performance, uptime, and resilience of all data systems supporting customer-facing services.
Implement monitoring, alerting, and proactive performance tuning for mission-critical data platforms.
 
 
Cross-Functional Collaboration:
 
Collaborate with product, engineering, AI, and business teams to ensure data platforms support the full Keystone lifecycle.
Partner with key stakeholders to deliver end-to-end solutions.
 
 
Team Building & People Development:
 
Build, mentor, and retain a high-performing team of data engineers, business analysts, and architects.
Promote a culture of accountability, innovation, and continuous improvement within the team.
Provide guidance and coaching on architectural best practices and scalable data engineering solutions.
 
 
Advanced Analytics & Automation Enablement:
 
Support the Keystone Data Insights and AI teams in deploying GenAI and ML capabilities.
Drive the implementation of automation and self-service data tools for internal stakeholders.
 
 
Governance & Source of Truth Ownership:
 
Establish and enforce data governance policies, including lineage, access control, and cataloging.
Ensure a consistent, unified source of truth for all critical business metrics and operational data views.
 
 

Job Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
10+ years of experience in data engineering, including 4+ years managing high performing teams.
Strong proficiency in SQL and experience with data modeling.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
Familiarity with ETL tools and data pipeline orchestration (e.g., Airflow).
Knowledge of data warehousing solutions (e.g., Snowflake, Redshift).
Experience with real-time data processing and streaming platforms (e.g., Kafka).
Strong problem-solving skills and attention to detail.
Strong understanding of SaaS or data-as-a-service business models.
Excellent communication, strategic thinking, and executive stakeholder management skills.