Cybersecurity Enterprise Data Architect

Warsaw, Poland

JUARA IT SOLUTIONS

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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.

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Category: Architecture Jobs

Tags: Architecture AWS Azure Big Data Classification Computer Science Data Analytics Data governance Data management Data pipelines Engineering ETL GCP Hadoop Informatica ISO 27001 Pipelines Privacy Redshift Security Spark TOGAF Unstructured data

Perks/benefits: Transparency

Region: Europe
Country: Poland

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