Solution Architect

Saudi Aramco (ASC)

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.