Cybersecurity Enterprise Data Architect

Job Description: Cybersecurity Enterprise Data Architect

Location: Poland

Experience: 10+ years

Position Type: Full-time

Role Overview:

We are seeking an experienced Cybersecurity Enterprise Data Architect with a strong background in architecture design, data modeling, and data governance. This role will focus on defining and implementing a secure and scalable data architecture framework that aligns with cybersecurity goals and organizational strategies. The successful candidate will play a pivotal role in bridging the gap between business needs and technical implementations, ensuring data integrity, privacy, and compliance across the enterprise.

Key Responsibilities:

1. Data Architecture Design:

– Define and develop the overall enterprise data architecture strategy, aligning it with cybersecurity principles and organizational objectives.

– Design and implement secure data pipelines and storage solutions for structured, semi-structured, and unstructured data.

– Ensure the scalability, performance, and security of the enterprise data ecosystem.

2. Data Modeling:

– Develop and maintain logical, physical, and conceptual data models to support various business use cases.

– Optimize data models for efficient querying, reporting, and integration across platforms.

– Collaborate with application and analytics teams to ensure data models meet functional and non-functional requirements.

3. Data Governance:

– Establish and enforce data governance policies, including data ownership, data classification, and lifecycle management.

– Define and implement data access controls to ensure compliance with data privacy regulations (e.g., GDPR).

– Develop and maintain metadata management solutions to provide transparency across the data lifecycle.

4. Cybersecurity Integration:

– Work closely with cybersecurity teams to design and implement controls for data protection, encryption, and secure data sharing.

– Ensure that data architecture adheres to organizational security standards and regulatory requirements.

– Conduct risk assessments to identify and mitigate potential vulnerabilities in data systems.

5. Collaboration and Stakeholder Engagement:

– Partner with business units, IT, and data engineering teams to align data architecture with business needs.

– Provide guidance on best practices for secure data handling and usage.

– Act as a subject matter expert for enterprise data architecture during audits and security reviews.

6. Emerging Technology and Trends:

– Stay updated on the latest trends in data architecture, data governance, and cybersecurity.

– Evaluate and recommend tools and technologies to enhance the enterprise data architecture framework.

– Drive innovation in data architecture to support digital transformation initiatives.

Qualifications and Experience:

Education:

– Bachelor’s or Master’s degree in Computer Science, Information Systems, Cybersecurity, or related fields.

Experience:

– 10+ years of experience in enterprise data architecture, with a focus on data modeling and data governance.

– Hands-on experience designing secure data architectures in enterprise environments.

– Proven expertise in working with large-scale, complex datasets in cloud and on-premise environments.

Technical Skills:

– Strong knowledge of data modeling tools (e.g., ERwin, Toad Data Modeler, or similar).

– Experience with data governance platforms (e.g., Collibra, Informatica, Alation).

– Proficiency in cloud platforms (AWS, Azure, GCP) and related data services (e.g., Azure Synapse, AWS Redshift).

– Familiarity with cybersecurity frameworks and compliance standards (e.g., ISO 27001, GDPR, NIST).

– Strong understanding of ETL processes, data pipelines, and big data frameworks (e.g., Hadoop, Spark).

Certifications (Preferred):

– TOGAF (The Open Group Architecture Framework).

– Certified Information Systems Security Professional (CISSP).

– Certified Data Management Professional (CDMP) or equivalent.

– Cloud certifications like AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate.

Key Competencies:

– Strong analytical and problem-solving skills with attention to detail.

– Excellent communication and collaboration abilities to work with diverse teams and stakeholders.

– Ability to balance technical depth with strategic vision in architecture design.

– Strong understanding of data privacy and protection laws.