Data Platform Architect Budapest

Data Platform Architect
Budapest

Job Purpose The Data Platform Architect designs, builds, and maintains the global data platform, ensuring scalability, security, and alignment with organizational goals, supporting data ingestion, processing, and analytics, including AI.

Key Responsibilities

Strategy & Architecture:

Develop and maintain data platform strategy.

Define architecture and technologies to meet organizational needs.

Stay updated on emerging technologies, including AI.

Governance & Security:

Support data governance and security frameworks.

Implement security measures and optimize platform performance.

Data Processing & Analytics:

Design data processing pipelines and select technologies for efficiency.

Collaborate with analysts and data scientists on advanced analytics and AI.

Ingestion & Integration:

Design and implement data ingestion processes.

Storage & Management:

Design and select appropriate data storage solutions.

Collaboration & Stakeholder Management

Team Contribution Elvárások / Requirements

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or related field.

Experience

5+ years of experience in data platform management and architecture.

Proven Data Platform Architect experience.

Strong knowledge of data technologies (ingestion, storage, processing, analytics).

Proficient in database design, data warehousing, and integration.

Experience with cloud platforms (AWS, Azure, Google Cloud, with preference for Azure).

Familiar with big data technologies (Hadoop, Spark) and data governance/security (GDPR, CCPA).

Familiarity with data governance, data security, and data privacy regulations (e. g. , GDPR, CCPA).

Preferred: Experience in RC/RC Movement or international humanitarian organizations, AI workflow design.

Knowledge and Skills

Strong strategic thinking and long-term vision setting.

Ability to embrace change

Strong leadership skills

Expertise in data products, business value development, and resource mobilization.

Excellent communication, networking, and interpersonal skills.

Focus on quality, standards, and results.

Teamwork, conflict resolution, and staff management experience.

Preferred: Data modeling, statistics, and AI techniques (machine learning).

Languages

Fluent in English.

Nice to have: Knowledge of French, Spanish, or Arabic