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aws lakehouse platform engineer

Riverflex

<div>Job Title: AWS Lakehouse Platform Engineer 
Location: UAE &ndash; Abu Dhabi or Dubai 
Engagement: Full-time (On-site) 
Contract duration: 3 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 &ldquo;how we do data platforms,&rdquo; working closely with the partner&rsquo;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 &amp; architecture<ul><li>
Own the end-to-end design and delivery of an AWS-based lakehouse Proof of Concept.</li><li>
Act as lead architect and custodian of the data platform, defining reference architectures, reusable patterns, and engineering standards.</li><li>
Design and implement a governed lakehouse architecture using Amazon S3, AWS Glue, Athena, Lake Formation, with Apache Iceberg as a core table format.</li></ul>
Governance, security &amp; control<ul><li>
Establish security-first platform designs, including IAM patterns and role-based access, Data access controls, governance guardrails, auditability, etc.</li><li>
Ensure consistent cataloging, lineage, and metadata practices across the lakehouse.</li></ul>
Engineering &amp; operability<ul><li>
Build and manage platform infrastructure using Infrastructure as Code (AWS CDK or Terraform).</li><li>
Ensure the platform is production-minded, with explicit focus on: long-term operability, scalability, cost efficiency and maintainability</li><li>
Define and implement operational standards, including monitoring, alerting, and basic runbooks where applicable.</li></ul>
Collaboration &amp; enablement<ul><li>
Partner closely with the Data Lead to align platform architecture with data engineering and analytics needs.</li><li>
Work embedded with the on-site platform engineering team, acting as a hands-on technical leader and mentor.</li><li>
Document architectural decisions, standards, and operating models to enable reuse and scaling beyond the PoC.</li></ul><ul><li> 
6+ years of experience in platform engineering, cloud engineering, or data platform engineering roles.</li><li>
Proven experience owning and shaping platform architectures rather than only implementing pipelines.</li><li>
Deep hands-on experience with:<ul><li>
Amazon S3 (storage patterns, lifecycle policies)</li><li>
Glue (jobs, catalog, orchestration)</li><li>
Athena</li><li>
Lake Formation</li><li>
Apache Iceberg</li><li>
AWS CDK or Terraform</li></ul></li><li>
Strong understanding of AWS Well-Architected Framework and platform best practices.</li><li>
Ability to design for reliability, cost control, and operational simplicity.</li><li>
Architectural mindset and being comfortable operating with reference architectures, engineering standards, guardrails and governance models</li><li>
Able to balance short-term PoC delivery with long-term platform sustainability.</li><li>
Experience in financial services or other regulated environments is a strong advantage.</li><li>
Ability to be based in the UAE for a minimum of 3 months, working full-time on-site (Abu Dhabi or Dubai).</li></ul> 
This is a unique opportunity to define the foundation of a modern enterprise data platform for a major financial institution, with real influence over long-term architectural direction - while working on-site in the UAE at the heart of one of the world&rsquo;s fastest-growing technology and financial hubs. You will operate in a high-impact environment, alongside senior stakeholders, on a greenfield platform initiative with strong executive backing. If you are interested, we&rsquo;d love to connect. 
Apply now!</div>

AWS Lakehouse Platform Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a Lakehouse Platform Engineer to serve as the lead architect and custodian of our enterprise data backbone. In this pivotal consultancy role, you will be responsible for the health, scalability, and evolution of our entire technology stack, ensuring that our Lakehouse architecture is not only reliable but optimized for high-performance AI and analytics. You will own the lifecycle of AWS Glue jobs, manage the intricacies of Apache Iceberg table registries, and operationalize industry-leading tools like OpenMetadata for governance and Soda Core for data quality. From designing robust Disaster Recovery (DR) scenarios to automating infrastructure via Terraform, your work will provide the foundation upon which our Data Factory squads build the future of intelligent enterprise systems.
As a consultant within our specialist firm, your technical prowess is matched by your ability to drive adoption. You will act as a bridge between platform engineering and business-critical operations, &quot;selling&quot; the value of self-service tooling and automated lineage to senior stakeholders. We are looking for a master problem-solver with 8+ years of experience&mdash;ideally within financial services or banking&mdash;who thrives in fast-paced, Agile environments. If you are passionate about decommissioning legacy technical debt while building state-of-the-art, automated data platforms that meet aggressive migration targets, you will find your home at DeepLight AI.
Your responsibilities as the AWS Lakehouse Platform Engineer:<ul>
<li>
Platform Management &amp; Optimization</li>
<li><ul><li>Manage and maintain Lakehouse components:</li>
<li><ul><li>Storage: S3 bucket configurations, lifecycle policies, storage optimization.</li>
<li>Compute: AWS Glue job management, optimization, DPU allocation.</li>
<li>Catalog: AWS Glue Data Catalog and Iceberg table registry.</li>
<li>Semantic Layer: Deploy and integrate with our semantic layer.</li>
<li>Governance: Deploy, configure, and upgrade OpenMetadata.</li>
<li>Quality: Maintain Soda Core infrastructure and integration.</li>
</ul></li><li>Apply Iceberg best practices for table optimization and maintenance.</li>
<li>Implement automated table maintenance processes.</li>
</ul></li><li>Self-Service &amp; Automation</li>
<li><ul><li>Deploy self-service tooling for Data Factory squads.</li>
<li>Implement automated lineage capture from Glue jobs.</li>
<li>Configure audit logging (CloudTrail, S3 access logs).</li>
</ul></li><li>Disaster Recovery &amp; Reliability</li>
<li><ul><li>Design and implement Disaster Recovery (DR) scenarios including failover, backup management, and runbooks.</li>
<li>Execute annual DR tests for the entire data landscape.</li>
<li>Ensure all critical platform components are monitored, with alerting and active follow-up.</li>
</ul></li><li>Migration &amp; Decommissioning</li>
<li><ul><li>Execute decommissioning roadmap.</li></ul></li>
<li>Collaboration</li>
<li><ul><li>Work closely with platform engineers and architects to ensure alignment on optimization and tooling.</li>
<li>Partner with operational teams for monitoring and alerting.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
You will have experience in: 
<ul>
<li>
data platform engineering or related roles, ideally a minimum of 8 years experience.
</li><li>managing Lakehouse platforms on AWS.</li>
<li>AWS services: S3, Glue, CloudTrail, Athena.</li>
<li>Apache Iceberg, OpenMetadata, and Soda Core.</li>
</ul>
You should also have knowledge of:<ul>
<li>
disaster recovery planning and execution.</li>
<li>infrastructure automation using Terraform and Git.</li>
<li>Kafka (MSK) and OpenSearch.</li>
<li>identifying ways to automate their work / repetitive tasks.</li>
<li>problem-solving and troubleshooting skills.</li>
<li>working cross-functionally and manage complex platform operations.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication skills.</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
DeepLight AI is seeking a visionary Data Architect to serve as the strategic blueprint designer for our most complex enterprise Lakehouse implementations. In this high-authority consultancy role, you will own the Medallion Architecture roadmap, steering high-level decision-making through SAF/ARB forums and defining the gold standard for Apache Iceberg tables&mdash;from partitioning strategies to schema evolution and time travel. You will bridge the gap between abstract design and production reality, leading Data Factory squads and providing expert mentorship to AWS Glue Engineers to ensure every line of code aligns with global modeling and lineage standards.
Technical mastery is only half the battle; we need a master communicator who can command a room of senior stakeholders. You must be able to persuasively &quot;sell&quot; your architectural vision, navigate complex escalations with diplomacy, and translate intricate metadata and lineage strategies into clear business value. If you are a technical authority who thrives on influencing the direction of large-scale financial services transformations and establishing reusable design patterns that set a firm apart, we want you at the helm of our architectural practice.
Your responsibilities as the Data Architect will include:<ul>
<li>
Architectural Leadership</li>
<li><ul><li>Design and enforce Medallion Architecture for the Lakehouse.</li>
<li>Drive architectural decision-making through SAF/ARB architecture forums.</li>
<li>Lead design for all Data Factory squads working on data initiatives.</li>
</ul></li><li>Iceberg Table Standards</li>
<li><ul><li>Define standards for Apache Iceberg tables, including:</li>
<li><ul><li>Partitioning strategy</li>
<li>Schema evolution</li>
<li>Time travel and snapshot retention</li>
<li>Table optimization schedules</li>
</ul></li></ul></li><li>Data Modeling &amp; Standards</li>
<li><ul><li>Establish data modeling standards (e.g., dimensional modeling for Gold layer, SCD2, naming conventions, metadata management).</li>
<li>Define lineage standards leveraging OpenMetadata.</li>
</ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Coordinate with platform teams on Iceberg-related activities.</li>
<li>Collaborate with Data Quality leads to implement validation rules.</li>
<li>Proactively manage escalations and communicate progress with senior stakeholders.</li>
</ul></li><li>Technical Leadership</li>
<li><ul><li>Provide guidance to Glue Data Engineers.</li>
<li>Establish code review processes and best practices.</li>
<li>Create reusable design patterns and templates for consistency.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
You will have experience in:<ul>
<li>
data architecture roles, ideally 10 years+ with at least 3 years in Lakehouse implementations.</li>
<li>Lakehouse architecture (S3, Iceberg, Glue, Spark).</li>
<li>schema evolution, partitioning strategies, and table optimization in Iceberg.</li>
<li>defining metadata management, lineage, and data quality frameworks.</li>
</ul>
You should also have knowledge of:<ul>
<li>
Medallion architecture and data modeling principles.</li>
<li>leading architectural forums and influence decision-making.</li>
<li>AWS services (S3, Glue, Athena, EMR).</li>
<li>Apache Iceberg, Spark.</li>
<li>OpenMetadata, or similar lineage tools.</li>
<li>automating work / repetive tasks.</li>
<li>communicating and stakeholder management.</li>
<li>working collaboratively across multiple squads and teams.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Lead Data Lakehouse Architect

Diostec

<ul><li>Role: Implementing and managing cloud-based systems on the AWS platform.</li><li>Technical Stack: AWS Services (EC2, S3, Lambda, RDS), Docker, and Kubernetes.</li><li>Responsibilities: Deploying and debugging cloud initiatives, managing cloud security, and ensuring high availability and disaster recovery protocols.</li></ul>Job Types: Full-time, Permanent, ContractExperience:<ul><li>AWS Developer / Cloud Engineer: 1 year (Required)</li></ul>

Cloud Engineer

<div>Job Title: Data Engineer &ndash; Automation &amp; AI
Location: UAE &ndash; Abu Dhabi or Dubai 
Engagement: Full-time (On-site) 
Contract duration: 3 months + possible extensions 
Start date: February 2026 
 
Riverflex is partnering with a leading financial institution in the UAE on a strategic Proof of Concept focused on increasing data engineering productivity through automation and AI. We are seeking a Data Engineer &ndash; Automation &amp; AI with strong GenAI and agent-based experience to own this PoC end-to-end, applying AI- and agent-assisted techniques to the design, migration, and development of AWS-based data pipelines. 
This role is explicitly focused on accelerating data engineering ways of working using AI, not solely on building pipelines. You will act as the internal lead on how AI should be applied in day-to-day data engineering, working closely with the partner&rsquo;s Data Lead and embedded with the on-site engineering team. A key part of the scope is translating legacy SQL and stored procedures into modern AWS Glue pipelines, while defining practical AI patterns, tool and guardrails that scale beyond the PoC. 
Responsibilities
Data engineering &amp; pipeline delivery<ul><li>
Design, build, and evolve AWS Glue&ndash;based data pipelines using Spark and SQL.</li><li>
Translate legacy SQL scripts and stored procedures into AWS Glue pipelines</li><li>
Ensure migrated and newly built pipelines meet agreed standards for correctness, performance, and maintainability.</li></ul>
AI-driven engineering acceleration<ul><li>
Apply Generative AI and agent-based techniques to accelerate data engineering tasks, including code generation/refactoring, pipeline dev. and standardisation</li><li>
Own the design and implementation of AI-assisted tooling that integrates directly into day-to-day engineering workflows</li><li>
Codify successful patterns, reusable tools, and recommended ways of working for scaling beyond the PoC</li></ul>
AI tooling &amp; experimentation<ul><li>
Work hands-on with Python and LLM APIs to build pragmatic, internal DE tools</li><li>
Design effective prompts &amp; interaction patterns for code generation &amp; transformation</li><li>
Evaluate and work with enterprise-grade AI platforms (e.g. AWS Bedrock, Azure AI Foundry) using GPT-4 / Claude-class models</li><li>
Define practical rules of thumb and guardrails (e.g. where automation works, where it breaks down, where human intervention is required).</li></ul>
Collaboration &amp; ways-of-working<ul><li>
Work closely with data and platform engineers to (dis)prove automation hypotheses and identify where AI adds real productivity gains vs. noise</li><li>
Document outcomes and recommendations from the PoC and provide clear guidance on how AI should (and should not) be used in data engineering at scale</li></ul><ul><li> 
6+ years of experience in data engineering or closely related engineering roles.</li><li>
Proven experience owning and shaping data engineering solutions, not only implementing individual pipelines.</li><li>
Strong hands-on experience with AWS-based data engineering, including:<ul><li>
AWS Glue (jobs, transformations, orchestration)</li><li>
Spark (batch processing and transformations)</li><li>
Advanced SQL (complex logic, optimisation, performance tuning)</li><li>
End-to-end pipeline and workflow design</li></ul></li><li>
Solid (Python) engineering experience, including building reusable components and internal tooling.</li><li>
Demonstrated, practical experience applying Generative AI in engineering workflows, such as:<ul><li>
Working with LLM APIs (e.g. AWS Bedrock, Azure AI Foundry, OpenAI)</li><li>
Prompt design for code generation, refactoring, and transformation</li><li>
Understanding the limitations, failure modes, and risks of LLM-based automation</li></ul></li><li>
Experience designing AI-assisted engineering workflows or tools, for example:<ul><li>
API-based services (e.g. FastAPI)</li><li>
MCP (or agent)-like orchestration patterns</li></ul></li><li>
Able to balance short-term PoC delivery with longer-term capability building.</li><li>
Experience in financial services or other regulated environments is a strong advantage.</li><li>
Ability to be based in the UAE for a minimum of 3 months, working full-time on-site (Abu Dhabi or Dubai).</li></ul> 
This is a unique opportunity to directly impact the data engineering capability of a major financial institution, with real, hands-on use of GenAI - while working on-site in the UAE, at the heart of one of the world&rsquo;s fastest-growing technology and financial hubs. You will operate in a high-impact setting alongside senior stakeholders on a greenfield AI for Data Engineering initiative with strong executive backing. If you are interested, we&rsquo;d love to connect. 
Apply now!</div>

Data Engineer - Automation & AI

Explore 1517+ Aws lakehouse platform engineer in United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

1517 aws lakehouse platform engineer jobs IN United Arab Emirates

AWS Lakehouse Platform Engineer

AWS Lakehouse Platform Engineer

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Lead Data Lakehouse Architect

Cloud Engineer

Data Engineer - Automation & AI