Senior Data Architect & Security Lead - GenAI

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity

We are seeking a Senior Data Architect & Security Lead to take ownership of designing, upgrading, and securing the data architecture of our cloud-based SaaS platform. The ideal candidate will have deep expertise in database composition, data governance, and security standards. This role requires a balance between strategic vision and hands-on technical implementation to ensure scalability, performance, and compliance with security standards.

An exceptional opportunity awaits to be part of Adobe's electronic signature service (Acrobat Sign), an innovative GenAI-based contract & document understanding service, and a GenAI platform service used for understanding large scale document collections for enterprises. Work alongside experienced engineers and innovative technology.

What you will need to succeed

1. Business sense: Good grasp of business, strategy, and finance. Visionary and diligent.

2. Data architecture & design expertise: Help direct, develop and maintain a scalable and efficient data architecture for our SaaS platform, ensuring optimal performance and reliability.

3. Database optimization techniques: Help develop, modify database schemas, indexing and data partitioning strategies to improve system efficiency.

4. Data governance experience: Establish guidelines for data integrity, lifecycle management, and access control.

5. Data security & compliance knowledge: Define and enforce security policies, encryption standards, and compliance frameworks (e.g., GDPR, SOC 2, HIPAA).

6. ETL & data pipelines: Oversee the development and optimization of ETL processes to manage large-scale data ingestion and processing.

7. Disaster recovery & high availability experience:

· Support the designing and maintenance of HA/DR strategies using replication, clustering, and backup plans.

· Partner with infrastructure teams to ensure RTO/RPO requirements are met.

8. Security leadership: Work closely with security teams to implement proactive measures against data breaches and vulnerabilities.

9. Technology evaluation expertise: Stay up-to-date with the newest technologies and trends in data architecture and security.

10. Collaborating with multiple functions:

· Have experience partnering with application architects, security leads, product management, and devops teams to align data strategies with business goals.

· Provide mentorship to developers on schema building and data access patterns.

11. Soft Skills

· Strong problem-solving and analytical skills

· Clear communication skills to convey complex ideas to exec management as well as developers.

· Leadership in guiding database governance and architecture reviews.

Required Qualifications:

· Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

· 15+ years of experience in database architecture, data engineering, security and software development.

· Strong expertise in SQL, NoSQL, and distributed databases

· Hands-on experience with cloud data platforms (AWS RDS, etc).

· Knowledge of modern data lake and data warehouse architectures.

· Experience with encryption, identity management, and data masking techniques.

· Proficiency in scripting languages (Python, Bash) and automation tools for security and data management.

· Familiarity with CI/CD pipelines and infrastructure-as-code (Terraform, Ansible, Kubernetes).

· Strong analytical and problem-solving skills.

· Effective communicator who can clarify technical concepts to non-technical team members.

· Prior experience in a SaaS environment handling multi-tenant architectures.

· Experience in crafting microservices-based data architectures.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 -- $351,300 annually. Pay within this range varies by work location and may also depend on job-related k