Data Architect

Virtusa; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a skilled Data Architect to design and implement scalable database solutions that efficiently manage organizational data. This role involves optimizing existing database systems for high performance and security, developing data pipelines for seamless integration, and enforcing data architecture standards. The ideal candidate will provide technical leadership in adopting cloud-based platforms while collaborating with cross-functional teams to align strategies with business goals. If you're passionate about data architecture and want to make a significant impact, this is the perfect opportunity for you.

Qualifications

• Erfahrung in der Implementierung skalierbarer Datenbanksysteme.
• Kenntnisse in der Datenmodellierung und ETL-Prozessen sind erforderlich.

Responsibilities

• Entwicklung und Optimierung von Datenpipelines für nahtlose Integration.
• Technische Führung bei der Einführung cloudbasierter Datenplattformen.

Skills

Datenbankmanagementsysteme (MySQL, PostgreSQL, Oracle)

Datenmodellierung

ETL-Prozesse

Big Data Tools (Hadoop, Spark, Kafka)

Programmierkenntnisse (Python, Java, Scala)

Daten-Governance und Sicherheitsframeworks (GDPR, HIPAA)

Analytische Fähigkeiten

Problemlösungsfähigkeiten

Kommunikationsfähigkeiten

Tools

AWS

Azure

GCP

Job description

Job Description: Data Architect

Design and implement scalable database solutions to store, retrieve, and manage organizational data efficiently.

Optimize and maintain existing database systems, ensuring high performance, reliability, and security.

Develop data pipelines and workflows to enable seamless integration from diverse data sources.

Create and enforce data architecture standards and best practices across the organization.

Provide technical leadership for adopting cloud-based data platforms (e.g. AWS, Azure, GCP).

Collaborate with cross-functional teams to align data architecture strategies with business goals.

Required Skills:

1. Expertise in database management systems (e.g. MySQL, PostgreSQL, Oracle) and cloud platforms.
2. Proficiency in data modeling, schema design, and ETL processes.
3. Experience with big data tools like Hadoop, Spark, or Kafka.
4. Strong programming skills in languages such as Python, Java, or Scala.
5. Knowledge of data governance, security, and compliance frameworks (e.g. GDPR, HIPAA).
6. Excellent analytical, problem-solving, and communication skills.