Senior Director, Data Platform and Engineering
Okta
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Compensation
Salary & market context
270% above the BLS national median
BLS national median: $74,680
- $379,500
- $246,000
- $338,800
Requirements
Top requirements
- Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role.
- AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives.
- Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure).
- Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred.
Perks & setup
Benefits candidates care about
- In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.
Why candidates care
Benefits & perks
- In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.
Start here
Requirements
- Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role.
- AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives.
- Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure).
- Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred.
- Cross-Functional Collaboration: Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences.
- Team Development: A track record of successfully hiring, mentoring, and leading high-performing data teams.
- Problem-Solving: A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach.
- #LI-MC1
Responsibilities
What you'll do
- Lead and Inspire a High-Performing Team: Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning.
- Champion AI Enablement: Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models.
- Advance the Data Foundation: Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization.
- Enhance Data Security and Governance: Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies.
- Partner Cross-Functionally: Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development.
Role snapshot
About the role
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Technology, Data, and Intelligence Team
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