Data Architecture Manager

Position: Data Architecture Manager
Reports to: Senior Manager
Sector: Land Mobility
Job Location: Land Mobility

Role Purpose:
This role caters to a data architect who seeks a balance between technical execution and strategic influence. You'll actively design and build data solutions while also providing leadership and shaping the overall data strategy.

Key Accountabilities:

• Data Architecture: Oversee the design and implementation of robust data architectures, ensuring the scalability, reliability, and performance of data platforms. Lead data strategy & craft technical solutions.
• **Expertise in advanced & predictive analytics (ML, AI) to unlock insights from big data.
• **Design and implement a scalable, secure, and future-proof data architecture to accommodate evolving business needs.
• **Manage and optimize big data technologies and infrastructure, such as Hadoop, Spark, and other distributed computing frameworks.
• **Implement and enforce data governance policies, ensuring data quality, security, and compliance with regulatory requirements.
• **Lead the integration of disparate data sources, both structured and unstructured, to create a unified and comprehensive analysis and reporting.
• **Oversee the management of data lifecycle, including storage, access, and quality control.
• **Implement KPIs to monitor and measure the success of data science and engineering initiatives, making data-driven decisions.
• **Engage with internal and external clients to understand their data needs, provide insights, and deliver solutions that address business challenges.
• **Foster a culture of trial and innovation, encouraging the exploration of new technologies and methodologies to enhance data capabilities.
• **Establish and implement security protocols to protect sensitive data, adhering to relevant data NEOM & KSA regulations.
• **Lead the evaluation and selection of new data technologies and tools.

Key Skills:

• 10+ years of experience as a Data Architect or similar hands-on technical role.
• Proven record of successfully designing and implementing complex data architectures.
• Strong understanding of data modeling concepts and methodologies.
• Experience with data governance and data security principles.
• Experience with relational databases, data warehousing, and big data technologies (e.g., Hadoop, Spark).
• Deep understanding of cloud-based data platforms (e.g., AWS, Azure, GCP).
• Excellent SQL, Python, Shell programming skills.
• Experience with real-time data streaming and data warehousing solutions.
• Familiarity with data mesh principles and API design.
• Experience in Mobility domain is highly desirable.
• Strong leadership and project management skills.
• Excellent communication and presentation skills to effectively communicate complex data concepts to both technical and non-technical audiences.

Qualifications:

• Bachelors in Statistics, Computer Science or a related analytical field.
• Advanced degree and/ Or certifications in Data Architecture preferred.