Data Architect

Jobsatdubai; Dubai; On-site; AED 312,155 - 403,966; Full time

Job summary

Jobsatdubai is looking for a skilled Data Architect in Dubai to design and implement scalable database solutions. The ideal candidate should have 7+ years of experience, expertise in various database management systems, and knowledge of cloud platforms like AWS and Azure.

The role involves optimizing database systems, creating data pipelines, and collaborating with teams to meet business goals. Strong programming skills and experience with big data tools are essential. Join us to shape our data architecture strategy.

Qualifications

• 7+ years of experience in data architecture or related field.
• Expertise in designing scalable database solutions.
• Strong background in cloud-based data platforms.

Responsibilities

• Design and implement scalable database solutions.
• Optimize existing database systems for performance.
• Develop data pipelines from diverse sources.
• Enforce data architecture standards across the organization.
• Provide technical leadership for cloud data platforms.
• Collaborate with cross-functional teams.

Skills

Database management systems

Data modeling

Big data tools (Hadoop, Spark, Kafka)

Programming (Python, Java, Scala)

Data governance and compliance

Analytical skills

Job description

Data Architect

Role: Data Architect

Skill: Data Architecture

Experience: 7+ Years

Job Description:

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:

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