Solution Architect (Relocation to Saudi Arabia is required)

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 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.

Technical Expertise

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.

Warehousing/Lakehouses

Snowflake, Databricks, BigQuery.

Enterprise Architecture

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

Professional Experience & Education

Minimum of 8–10 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.

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

Must have Oil & Gas experience.

Certifications (Preferred)

Professional certification in relevant areas such as TOGAF, ITIL, or similar.

Nice to Have

AI/ML Integration

Experience architecting Feature Stores and MLOps pipelines to support machine learning workflows.

Governance Tools

Familiarity with data cataloging and governance tools. #J-18808-Ljbffr