Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

Engineering Services are seeking a Solution Architect with hands-on expertise in data engineering and solution architecture. This position bridges the gap between high-level business requirements and technical execution, defining the architecture of scalable data pipelines, robust storage solutions, and high-performance analytics environments. The responsibilities include prototyping complex integrations and ensuring that data infrastructure is robust, secure, resilient, and optimized for scale-up. As a practitioner in this role, the Solution Architect will be responsible for translating business needs into technical solutions, leveraging your expertise to drive the design and implementation of data-driven systems.

Key Responsibilities

Architectural Design: Lead the design of end-to-end solution and data architectures, including ingestion, processing, storage, and visualization layers.

Infrastructure Strategy: Define cloud-native or hybrid infrastructure strategies that support high-volume data processing and real-time analytics.

Hands-on Development: Develop Proof of Concepts (PoCs) and core framework components for data pipelines (e.g. ETL) to ensure architectural feasibility.

Database Governance: Evaluate and select appropriate data stores (Relational, NoSQL, Graph, Vector) based on specific use-case requirements like latency, throughput, and consistency.

Performance Optimization: Audit existing data systems to identify bottlenecks and implement strategies for cost-optimization and query performance tuning.

Technical Leadership: Provide technical leadership in ensuring best practices in various areas including CI/CD and documentation.

Solution Architecture: Develop and maintain a deep understanding of the corporate's technology landscape, including applications, data flows, and infrastructure, to identify opportunities for improvement and optimization.

Legacy Modernization: Experience migrating on-premise infrastructure to cloud-native architectures.

Containerization: Experience with Docker and Kubernetes for deploying data services.

Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.

Data Processing: Strong proficiency in batch and stream processing.

Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.

Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.

Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.

Minimum Requirements

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.

Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.

Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.

Preferred qualifications and experience: The certifications are TOGAF, ITIL, or similar.AI/ML Integration experience architecting Feature Stores and MLOps pipelines to support machine learning workflows.Governance Tools familiarity with data cataloging and governance tools.

Work Location and Work Schedule

Work Location: Within Saudi Arabia - To be specified in Job offer

Work Schedule: Full Time - To be specified in Job offer

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Country/Region: SA