Senior Data Architect & Security Lead

Bachelor’s or advanced degree in Computer Science, Information Systems, or a related field.
10+ years of experience in database architecture, data engineering, and security.
Strong expertise in SQL, NoSQL, and distributed databases (MySQL, MongoDB, etc.).
Familiarity with document DBs (e.g. AWS DynamoDB, Azure CosmosDB), columnar storage (Apache Cassandra), graph DBs (e.g. Neo4J).
Hands-on experience with cloud data platforms (AWS RDS, Redshift, and others).
Working knowledge of Hibernate highly desirable
Knowledge of modern data lake and data warehouse architectures.
Experience with encryption, identity management, and data masking techniques.
Deep understanding of security frameworks such as OWASP, NIST, and CIS.
Proficiency in scripting languages (Python, Bash) and automation tools for security and data management.
Familiarity with CI/CD pipelines and infrastructure-as-code (Ansible, Kubernetes).
Strong analytical and problem-solving skills.
Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Develop and maintain a scalable and efficient data architecture for our SaaS platform, ensuring optimal performance and reliability.
Design and implement database schemas, indexing strategies, and data partitioning to improve system efficiency. Understand the current data architecture and data layout to help investigate/analyze data related application issues.
Define and implement security policies, encryption standards, and compliance frameworks (e.g., GDPR, SOC 2, HIPAA).
Lead efforts to modernize data storage and processing pipelines, including cloud-based solutions (AWS, Azure).
Coordinate the development and optimization of ETL processes to handle large-scale data ingestion and processing.
Establish validated methods for data integrity, lifecycle management, and access control.
Work closely with security teams to implement proactive measures against data breaches and vulnerabilities.
Collaborate with engineering, product, and DevOps teams to align data strategies with business goals.
Stay up-to-date with the newest technologies and trends in data architecture and security, making recommendations for adoption.