Jobs at aramco

JOB TO BE BASED IN SAUDI ARABIAJob Summary:The Solution Architect role requires a highly technical professional with deep, 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 key 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, you will be responsible for translating business needs into technical solutions, leveraging your expertise to drive the design and implementation of data-driven systems.Key ResponsibilitiesArchitectural 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.Technical ExpertiseCloud 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.Professional Experience & EducationMinimum of 15 - 20 years in IT, with at least 10years 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.Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.Certifications (Preferred)Professional certification in relevant areas such as TOGAF, ITIL, or similar.PreferredAI/ML Integration: Experience architecting Feature Stores and MLOps pipelines to support machine learning workflows.Governance Tools: Familiarity with data cataloging and governance tools.REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED Show more Show less