Lead Specialist, Data Lakehouse

Ma'aden Gold and Base Metals (MGBM)

Riyadh

On-site

SAR 300,000 - 420,000

Full time

14 days+

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Job summary

Ma'aden Gold and Base Metals (MGBM) seeks a Lead Specialist, Data Lakehouse II to drive scalable lakehouse architectures that empower analytics, AI, and digital transformation across the enterprise.

You will architect data platforms, govern data assets, and lead collaboration with business and technology teams to deliver secure, high-performing data solutions that enable strategic decisions in Riyadh and beyond.

Qualifications

Bachelor's degree in computer science/related field.
8–12 years of relevant data engineering/ lakehouse experience.
Experience delivering enterprise analytics, data integration, and AI-enabled platforms.

Responsibilities

Deliver scalable lakehouse architecture solutions for analytics, AI, and ML initiatives.
Translate business and platform requirements into sustainable data engineering and architecture solutions.
Align data platform capabilities with organizational digital transformation and technology strategies.
Optimize data ingestion, processing, storage, and transformation capabilities.
Strengthen platform reliability, availability, and scalability for uninterrupted data access.
Improve data lifecycle management practices and operational efficiencies across the data ecosystem.
Enable trusted, governed data environments through data quality, lineage, security, and compliance controls.
Strengthen data governance frameworks and architecture principles.
Ensure adherence to organizational policies and security requirements.
Drive the adoption of modern data technologies, engineering practices, and architectural standards.
Evaluate emerging technologies and recommend enhancements to improve platform value and scalability.
Accelerate deployment of advanced analytics and AI solutions through robust data platforms.
Build partnerships with business, analytics, architecture, cybersecurity, and technology teams.
Provide technical guidance on data platform strategy and implementation.
Mentor and share knowledge to raise organizational capability.

Skills

Data Lakehouse Architecture

Data Engineering & Integration

Cloud Data Platforms

Data Modeling & Data Management

Data Governance & Security

Advanced Analytics and AI Enablement

Business & Delivery

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field

Job description

1. Why This Role Matters

The Lead Specialist, Data Lakehouse II enables the organization to maximize the value of enterprise data by developing and optimizing scalable data lakehouse platforms that support analytics, artificial intelligence, automation, and digital transformation initiatives. The role creates a trusted foundation for data-driven decision-making across business and operational functions.

The role drives the design, integration, and continuous improvement of modern data architectures that improve data accessibility, quality, reliability, and performance. By strengthening enterprise data capabilities, the role accelerates innovation, improves business insights, and supports the delivery of strategic Technology and Innovation objectives.

As a key technical specialist within Data & AI, the role ensures that data platforms remain secure, scalable, governed, and aligned with evolving business and technology requirements while enabling advanced analytics and AI use cases.

2. What You Will Deliver

Strategy Execution & Platform Development

Deliver scalable lakehouse architecture solutions that support enterprise analytics, reporting, AI, and machine learning initiatives.
Translate business and platform requirements into sustainable data engineering and architecture solutions.
Align data platform capabilities with organizational digital transformation and technology strategies.

Data Engineering & Operational Excellence

Optimize data ingestion, processing, storage, and transformation capabilities to improve platform efficiency and performance.
Strengthen platform reliability, availability, and scalability to ensure uninterrupted access to critical business data.
Improve data lifecycle management practices and operational efficiencies across the data ecosystem.

Data Governance & Quality

Enable trusted and governed data environments through effective data quality, lineage, security, and compliance controls.
Strengthen enterprise data standards, architecture principles, and platform governance frameworks.
Ensure adherence to organizational policies, security requirements, and regulatory obligations.

Technical Leadership & Innovation

Drive the adoption of modern data technologies, engineering practices, and architectural standards.
Evaluate emerging technologies and recommend enhancements that improve platform capability, scalability, and business value.
Accelerate the deployment of advanced analytics and AI solutions through robust data platform capabilities.

Stakeholder Engagement & Capability Building

Build strong partnerships with business, analytics, architecture, cybersecurity, and technology teams to deliver integrated solutions.
Provide technical guidance and expertise on data platform strategy, architecture, and implementation.
Strengthen organizational capability through knowledge sharing, mentoring, and adoption of best practices.

3. What Success Looks Like

High availability, reliability, and performance of enterprise data lakehouse platforms.
Improved accessibility, quality, and consistency of enterprise data assets.
Faster delivery of analytics, reporting, AI, and data-driven business solutions.
Strong compliance with data governance, security, and architecture standards.
Increased scalability and operational efficiency of data platforms.
Successful adoption of modern data technologies that generate measurable business value.

4. Minimum Qualifications

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related discipline.

5. Experience

8–12 years of relevant experience in data engineering, data platforms, data lakehouse, or enterprise data management environments.
Experience designing and implementing large-scale cloud and modern data architecture solutions.
Experience delivering enterprise analytics, data integration, and AI-enabling platforms.
Experience leading complex technical initiatives and collaborating across multiple business and technology functions.

6. Skills That Matter

Functional Expertise