AWS Lakehouse Platform Engineer

Description

Job Title: AWS Lakehouse Platform Engineer  
Location: UAE – Abu Dhabi or Dubai 
Engagement: Full-time (On-site) 
Contract duration: 3 or 6 months + possible extensions  
Start date: February 2026 

Riverflex is partnering with a leading financial institution in the UAE on a strategic Proof of Concept to establish (the foundations of) an AWS data platform. We are seeking a Platform Engineer to own the PoC end-to-end, define the reference architecture, and establish the standards and guardrails that will shape how the data platform is built going forward.  

This is not a data engineering role. This position is about platform ownership, architecture, governance, and long-term operability. You will serve as the internal authority on “how we do data platforms,” working closely with the partner’s Data Lead and embedded with the on-site platform engineering team to ensure the foundation is robust, scalable, and fit for enterprise-grade analytics and future AI use cases. 

Responsibilities 

Platform ownership & architecture 

• Own the end-to-end design and delivery of an AWS-based lakehouse Proof of Concept. 

• Act as lead architect and custodian of the data platform, defining reference architectures, reusable patterns, and engineering standards. 

• Design and implement a governed lakehouse architecture using Amazon S3, AWS Glue, Athena, Lake Formation, with Apache Iceberg as a core table format. 

Governance, security & control 

• Establish security-first platform designs, including IAM patterns and role-based access, Data access controls, governance guardrails, auditability, etc. 

• Ensure consistent cataloging, lineage, and metadata practices across the lakehouse. 

Engineering & operability 

• Build and manage platform infrastructure using Infrastructure as Code (AWS CDK or Terraform). 

• Ensure the platform is production-minded, with explicit focus on: long-term operability, scalability, cost efficiency and maintainability 

• Define and implement operational standards, including monitoring, alerting, and basic runbooks where applicable. 

Collaboration & enablement 

• Partner closely with the Data Lead to align platform architecture with data engineering and analytics needs. 

• Work embedded with the on-site platform engineering team, acting as a hands-on technical leader and mentor. 

• Document architectural decisions, standards, and operating models to enable reuse and scaling beyond the PoC.