• Design and create scalable, high-performance data pipelines for both structured and unstructured data.

• Develop and sustain enterprise-level data architecture across cloud and on-premises environments (AWS, Azure, or GCP).

• Establish and execute data modeling strategies including data warehouses, data lakes, and real-time streaming.

• Work in partnership with business stakeholders to convert requirements into technical solutions.

• Ensure the quality, governance, security, and compliance of all data assets.

• Conduct complex data analyses and aid in reporting and analytics initiatives.

• Assess and suggest modern tools, frameworks, and best practices in data engineering.

• Integrate data from various sources and enhance data performance.

• Offer technical direction and architectural guidance on data projects.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• Over 6 years of experience in data engineering and data architecture within enterprise environments.

• Required hands-on experience with **Snowflake**.

• Extensive experience in ETL/ELT pipelines, data lakes, and data warehouses.

• Practical experience with cloud platforms (AWS, Azure, or GCP).

• Proficiency in SQL and at least one programming language (Python, Java, or Scala).

• Experience with streaming technologies such as Kafka, Spark Streaming, or similar.

• Strong grasp of data modeling, dimensional modeling, and schema design.

• Knowledgeable in data governance, security, and compliance.

• Excellent problem-solving abilities and capable of working independently.

• Outstanding communication skills for engaging with both technical and non-technical stakeholders.

• **Nice to Have**

• Experience in Middle East markets or familiarity with regulations in Saudi Arabia.

• Exposure to AI/ML integration within data pipelines.

• Cloud certifications (AWS, Azure, or GCP Data Engineering certifications).

• Experience with BI tools (Power BI, Tableau, Looker, or similar).

• Competitive salary and performance-based incentives.

• Comprehensive health insurance and wellness programs.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• Collaborative and inclusive work environment.

Data Architect, 4 Months Contract

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