cloud data architect

GIG Gulf

<div>
 <p>
  <strong>
   Who we are:
  </strong>
 </p>
 <p>
  GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 </p>
 <p>
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 </p>
 <p>
  GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
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   .
  </strong>
 </p>
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 </p>
 <p>
  <strong>
   Job purpose:
  </strong>
 </p>
 <p>
  Are you enthusiast in contributing to the business purpose of a Regional Insurance Leader? Are you Data driven, technologically savvy and hands-on Data Architect with Data Engineering exposure on AWS and Azure Cloud? Express your Passion with GIG Gulf business and IT stakeholders to:
 </p>
 <ul>
  <li>
   define and maintain GIG Gulf IT Data standards, architectural guidelines and solutions.
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   lead pilots, POCs and exploration of new innovative solutions, practices and patterns
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   influence delivery of GIG Gulf Data &amp; AI projects on time, quality and budget,
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   actively contribute to GIG Gulf&rsquo; Data &amp; AI vision and roadmap, including business case definition, project requirements, organization, and methodology,
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 </ul>
 <p>
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 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 </p>
 <p>
  <br/>
 </p>
 <p>
  Architecture
 </p>
 <ul>
  <li>
   Lead the definition and maintenance of GIG Gulf&rsquo;s enterprise data and AI architecture and delivery roadmap
  </li>
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   Drive the data and AI architecture aligned with GIG Gulf&rsquo;s business and technology strategy
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   Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities
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   Support selection and evolution of data and AI platforms, technologies, and strategic partners
  </li>
 </ul>
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 </p>
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  Data &amp; AI Platform Leadership
 </p>
 <ul>
  <li>
   Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases
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   Guide the design of AI-ready data foundations, including structured and unstructured data pipelines
  </li>
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   Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions
  </li>
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   Work closely with information security, risk, and compliance teams to embed governance and controls
  </li>
 </ul>
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  <br/>
 </p>
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  Technical Leadership
 </p>
 <p>
  Strong technical leader with broad and in-depth understanding of:
 </p>
 <ul>
  <li>
   Data architecture, data modeling, and data governance
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   Data engineering and cloud-native data platforms
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   Analytics, BI, and AI/ML solution patterns
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   Generative AI concepts including LLM-based solutions, retrieval-augmented generation (RAG), and vector-based retrieval architectures etc.
  </li>
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   Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices
  </li>
 </ul>
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 </p>
 <p>
  <strong>
   Operational &amp; Technical Responsibilities:
  </strong>
 </p>
 <p>
  Data &amp; AI Architecture
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  Function as an active, initiative‑taking Data and AI Architect for GIG Gulf initiatives:
 </p>
 <ul>
  <li>
   Refine and maintain data and AI architecture frameworks, guidelines, and design patterns
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   Define target-state architectures for master data (customer, product, provider, referential data)
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   Contribute to solution and technical architecture covering:
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   Data lakes and analytical platforms
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   AI/ML and GenAI-enabled use cases
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   Design architecture that support AI workloads, including (desirable):
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   Retrieval-augmented generation (RAG) patterns
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   Vector storage and semantic retrieval for enterprise knowledge use cases
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   Secure integration of public or foundation models with internal data
  </li>
 </ul>
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 </p>
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  Tangible Outcomes &amp; Delivery Focus
 </p>
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  Maintain a strong delivery and results orientation:
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 <ul>
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   Contribute to the data and AI roadmap aligned to business priorities
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   Lead implementation of data and analytics solutions on AWS (e.g., S3, Glue, Redshift, RDS, Lambda, Athena) and/or Azure (e.g., Data Lake Storage, Data Factory, Synapse Analytics, Azure Functions, Event Hubs)
  </li>
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   Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de-duplication initiatives
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   Guide data engineering practices using Spark (Python, Spark SQL), data workflows and automated pipelines
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   Support AI-enabled analytics and reporting use cases through curated data marts and BI extensions
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   Ensure solutions are production-ready, documented, and maintainable
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 </ul>
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 </p>
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  AI Solution Governance &amp; Integration
 </p>
 <ul>
  <li>
   Define architectural guardrails for enterprise AI usage, including (desirable):
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   Responsible and compliant use of LLMs and GenAI services
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   Data access, privacy, and residency controls for AI solutions
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   Integration patterns for AI agents and automated workflows where applicable
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   Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments
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   Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements
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 </ul>
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  Communication &amp; Stakeholder Engagement
 </p>
 <ul>
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   Prepare clear, structured architectural proposals and decision papers with supporting rationale
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   Communicate architectural choices to both technical and non-technical stakeholders
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   Provide clear recommendations aligned with business outcomes and strategy
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   Promote collaboration, reuse, and shared ownership across delivery teams
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 </ul>
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 </p>
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  Quality &amp; Operational Excellence
 </p>
 <ul>
  <li>
   Ensure high-quality testing, data validation, and operational readiness of data and AI platforms
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   Support incident, problem, and defect analysis related to data and AI solutions
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   Track and follow up on issues to ensure timely resolution and continuous improvement
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 </ul>
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 </p>
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  People Leadership
 </p>
 <ul>
  <li>
   Manage recruitment and onboarding of data and AI team members in collaboration with HR
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   Set, review, and track team objectives and performance
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   Support team development through coaching, mentoring, and targeted training
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   Foster a collaborative culture aligned with GIG values and delivery commitments
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 </ul>
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 </p>
 <p>
  Business / Domain knowledge requirements
 </p>
 <ul>
  <li>
   Knowledge of Health Data industry
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   Basic knowledge of the insurance business
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   Basic understanding of market practices/business processes
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   Understanding of regulatory challenges, including compliance, data privacy and residency
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum requirements of role
  </strong>
 </p>
 <p>
  <strong>
   Qualifications &amp; Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related technical discipline
  </li>
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   Master&rsquo;s degree or relevant professional certifications (cloud, data, or architecture‑related) are an advantage but not mandatory
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   8 &ndash;12 years of overall experience in data architecture, data engineering, or closely related roles
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   3-5 years in an architecture role responsible for data platforms on cloud
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   Proven experience designing and delivering data and analytics solutions on AWS and/or Azure
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   Experience in regulated environments (insurance, financial services, healthcare) is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills
  </strong>
 </p>
 <ul>
  <li>
   Data Architecture &ndash; Ability to define conceptual, logical, and physical data architectures aligned to business strategy
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   Cloud Data Platforms &ndash; Hands‑on experience with AWS and/or Azure data and analytics services
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   Data Engineering &ndash; Hands on experience designing and delivering scalable ETL/ELT pipelines using Spark and Python
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   Analytics &amp; BI &ndash; Hands on experience with analytical use cases, data marts, and BI platforms (such as Power BI or others)
  </li>
  <li>
   AI‑enabled Data Architectures (
   <u>
    desirable
   </u>
   ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
  </li>
  <li>
   Data Governance &amp; Security &ndash; Strong understanding of data quality, privacy, residency, and security‑by‑design principles
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Proven experience leading data or analytics teams
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   Strong stakeholder management skills across business, IT, and control functions
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   Ability to communicate architectural decisions clearly
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   Comfortable working in a high‑demand, delivery‑oriented environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Communication and Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication skills in English, both verbal and written
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   Team player &ndash; ability to work with a team and influence a positive collaborative culture
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   Ability to prioritize workload appropriately based on the impact on the business
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   Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Architecture Manager

Brainlake

<div>
 The Data Platform Technology Architect leads the architecture, design, and evolution of the government's core data platforms &mdash; ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with Government-Wide strategy and policy.
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 <ul>
  <li>
   Define and own the end-to-end architecture for core data platforms &mdash; ensuring scalability, performance, and security
  </li>
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   Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy
  </li>
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   Lead architecture and oversight of a complex ecosystem of data platforms &mdash; ensuring interoperability, consistency, and alignment across multiple vendors and technologies
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   Design and govern the data sharing platform, enabling secure, standardized data flows across entities
  </li>
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   Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement
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   Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics
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   Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns
  </li>
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   Oversee platform lifecycle management &mdash; setup, operations, upgrades, migrations, and decommissioning of legacy platforms
  </li>
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   Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases
  </li>
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   Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment
  </li>
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   Drive platform adoption and value realization through enablement and use case activation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's in Computer Science, Data Engineering, or related field
  </li>
  <li>
   20+ years in technology architecture &mdash; including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America)
  </li>
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   Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities
  </li>
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   Strong expertise across modern data platforms and technologies &mdash; e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar
  </li>
  <li>
   Demonstrated ability to assess, select, and harmonize technologies across diverse vendors
  </li>
  <li>
   Government or large-scale enterprise ecosystem experience strongly preferred
  </li>
  <li>
   Excellent English communication; Arabic a plus
  </li>
 </ul>
</div>


Data Platform Technology Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Walk-in Drive at Hyderabad- Synergy Park</p>
<p>
Date- 11-Apr-26</p>
<p>
JD</p>
<p>
</p><div><div><div><div><div>Skills and Experience Required</div><br>
</div><div><ul><li> 15+ years of overall experience in architecting and building data and analytics solutions</li></ul>
<ul><li> Proven hands-on experience in architecting and implementing solutions using leading cloud data platforms like Databricks, Snowflake, Microsoft Fabric etc.</li></ul>
<ul><li> Strong background in designing and implementing ETL/ELT processes, data lakes, and data warehouses</li></ul>
<ul><li> Strong knowledge and experience in building data quality and metadata management solutions.</li></ul>
<ul><li> Experience with one or more major cloud platforms (Azure, AWS, GCP), with a preference for Azure and its data services ecosystem</li></ul>
<ul><li> Familiarity with Spark, Hadoop, and streaming data technologies</li></ul>
<ul><li> Familiarity with CI/CD pipelines, automation, and infrastructure-as-code</li></ul>
<ul><li> Experienced in working in a customer-facing role</li></ul>
<ul><li> Certifications in Databricks, Snowflake, Microsoft are preferred</li></ul><br>
</div></div><br>
<div><div><div>Responsibilities</div><br>
</div><div><ul><li> Design, build, and maintain scalable, secure, and high-performance data architectures on cloud platforms such as Databricks, Snowflake, and Microsoft Fabric</li></ul>
<ul><li> Lead migration and modernization of legacy data systems</li></ul>
<ul><li> Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into robust data solutions</li></ul>
<ul><li> Establish and enforce data governance, quality, and security standards across the cloud data ecosystem</li></ul>
<ul><li> Evaluate emerging technologies and recommend best-fit solutions to enhance the organization&rsquo;s data capabilities</li></ul>
<ul><li> Document data architecture designs, workflows, and standards for technical and non-technical audiences</li></ul>
<ul><li> Mentor and guide junior team members on best practices and new technologies in the cloud data space</li></ul>
<ul><li> Stay current with industry trends, certifications, and advancements in cloud data platforms and analytics</li></ul><br>
</div></div><br>
</div></div><br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>405017</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | Azure | Spark | SNOW</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Data Fabric

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.</p><p>Key Responsibilities</p><ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul><p>Why Join Us?</p><ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Architect

WinWire

<div><p><b>Location : Hyderabad/Bangalore</b></p>
<p><b>Job Description</b> :</p>
<ul><p>20+ years of comprehensive IT experience, including 8+ years in a Solution Architect or Enterprise Architect role in either Data Engineering &amp; Analytics or Application Development &amp; Infrastructure as the primary domain.</p>
<p>4+ years of cross-domain experience in the complementary domain (Data or App Dev/Infra), demonstrating architectural breadth.</p>
<p>Hands-on, deep expertise in Microsoft Azure, architecture, design, and implementation across compute, storage, networking, data, and security services; not limited to oversight.</p>
<p>Working proficiency in AWS and/or GCP, capable of designing, reviewing, and governing multi-cloud workloads across cloud platforms.</p>
<p>Practical application of Well-Architected Frameworks (Azure, AWS, or GCP) in production solution design, demonstrated hands-on implementation, not theoretical familiarity.</p>
<p>Demonstrated knowledge of TOGAF principles and their practical application in enterprise architecture governance and design.</p>
<p>Strong understanding of SRE principles, SLOs, error budgets, reliability patterns, and observability frameworks, with experience embedding these into engineering programs.</p>
<p>Demonstrated ability to leverage AI tools (GitHub Copilot, AI-assisted code review, automated testing, intelligent monitoring and incident analysis) to automate and standardize engineering practices, achieving simultaneous, measurable gains in team productivity and solution quality.</p>
<p>Proven ability to whiteboard solutions, drive structured solutioning workshops, and translate ambiguity into actionable architectural decisions.</p>
<p>Strong trade-off analysis and technology selection skills, able to evaluate options rigorously and recommend with clear rationale.</p>
<p>Experience defining solution and capability roadmaps aligned to business strategy and multi-year technology evolution.</p>
<p>Exceptional presentation and storytelling skills, able to communicate architecture clearly and persuasively to both technical teams and executive/business stakeholders.</p>
<p>Strong consulting and client-facing skills demonstrated ability to work with customers, technology partners, and internal SMEs across diverse stacks and domains, and influenced architectural decisions.</p>
<p>Robust integration skills across custom applications, data platforms, and COTS solutions.</p>
<p>Hands-on experience with CI/CD, DevOps toolchains, infrastructure-as-code, and automation practices.</p>
<p>Ability to balance technical contribution with team leadership, a practicing architect, not just a reviewer.</p>
<p>We are seeking a senior Enterprise Solution Architect who combines deep technical hands-on ability with the strategic foresight to shape architecture at enterprise scale. The ideal candidate brings a primary domain depth, either in Data Engineering &amp; Analytics or Application Development &amp; Infrastructure, backed by 8+ years in an Architect role, and meaningful cross-domain exposure in the secondary area (4+ years).A key differentiator for this role is the ability to strategically leverage AI tools to automate and standardize engineering practices, driving simultaneous improvements in team productivity and solution quality at scale.</p>
</ul>
<p><b>Key Skills: SRE practices, cloud architecture (Azure &amp; AWS / GCP), (Java/Python Programming/Dot Net) &amp; (Data Analytics/Data Engineering &amp; Infrastructure)</b></p></div>

Enterprise Architect - App Dev & Infra

EverFi

<div><p>Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, and workplace readiness.</p><p>
We are seeking a Cloud Architecture Engineer, Senior Principal to support the reliability, scalability, security, and strategic evolution of EVERFI's PaaS systems, while acting as a force multiplier for the broader engineering organization. The Cloud Architecture Engineer, Senior Principal is expected to operate with a high degree of autonomy, make consequential architectural decisions, and represent cloud infrastructure to senior leadership as needed.</p><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Compensa</b><b>tion and Benefits</b></p><p>
$170,000-$185,000 annual base salary depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.</p><p>
This role is eligible to participate in the Corporate Bonus Plan</p><p>
100% Remote position</p><p>
Health, Dental, and Vision insurance</p><p>
401(K) with matching contribution</p><p>
Generous Paid Time Off (PTO)</p><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Responsibilities</b></p><p><b>
Strategic Architecture &amp; Technical Visio</b><b>n</b></p><ul><li>
Shape and execute the multi-year cloud architecture strategy for EVERFI's platform, aligning infrastructure direction with business growth, product roadmap, and organizational scalability goals</li></ul><ul><li>
Lead enterprise-wide architecture reviews and establish cloud governance standards, guardrails, and best practices adopted across all engineering teams</li></ul><ul><li>
Identify and evaluate emerging technologies (e.g., AI/ML infrastructure, FinOps, platform engineering tooling) and make forward-looking recommendations to VP and CTO leadership</li></ul><ul><li>
Serve as a technical decision-maker and escalation point for complex, cross-functional cloud architecture challenges</li></ul><ul><li>
Drive the evolution of EVERFI's platform from reactive infrastructure management to proactive, resilience-first platform engineering</li></ul><p><b>
Platform Engineering &amp; Infrastructure</b></p><ul><li>
Design, build, maintain, and monitor internal PaaS systems in the cloud at enterprise scale &mdash; with a focus on high availability, fault tolerance, and cost efficiency</li></ul><ul><li>
Lead the implementation of geographically redundant, multi-region, and highly available architectures capable of supporting EVERFI's growth trajectory</li></ul><ul><li>
Architect and oversee the full lifecycle of cloud deployment tooling, ensuring CI/CD systems are continuously optimized for speed, safety, and developer experience</li></ul><ul><li>
Design reliable, interoperable components and utility libraries that underpin EVERFI's applications across engineering teams</li></ul><ul><li>
Architect and own a comprehensive metrics, monitoring, and observability system enabling full-stack visibility, proactive incident response, and SLA enforcement</li></ul><p><b>
Security, Compliance &amp; Risk</b></p><ul><li>
Ensure all cloud environments are designed and administered in accordance with company security guidelines, SOC 2 compliance requirements, FERPA, and applicable data privacy regulations</li></ul><ul><li>
Architect zero-trust networking, identity and access management (IAM), and data encryption frameworks across EVERFI's cloud environments</li></ul><ul><li>
Partner with Security and Legal teams to lead cloud risk assessments and drive remediation of architectural vulnerabilities at the platform level</li></ul><p><b>
Cross-Functional Leadership &amp; Influence</b></p><ul><li>
Act as a senior technical advisor to Engineering, Product, and Executive leadership on all cloud infrastructure decisions &mdash; translating complex technical tradeoffs into clear business impact</li></ul><ul><li>
Champion engineering culture: establish and promote best practices for reliability, performance, and operational excellence across all teams consuming cloud infrastructure</li></ul><ul><li>
Build training programs, playbooks, and knowledge resources that upskill engineering teams on cloud operations, architecture patterns, and performance optimization</li></ul><ul><li>
Represent the Cloud Architecture function in cross-functional planning, capacity modeling, and strategic workforce design discussions</li></ul><p><b>
Mentorship &amp; Talent Development</b></p><ul><li>
Provide mentorship, technical guidance, and career development support to Principal, Staff, and Senior Engineers on the Cloud Architecture team and adjacent teams</li></ul><ul><li>
Participate in hiring, technical interviews, and calibration discussions as needed</li></ul><ul><li>
Participate in an on-call rotation to provide emergency incident support as needed, modeling expected standards of operational excellence for the team</li></ul><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Qualifications</b></p><ul><li>
Bachelor's Degree in Computer Science, Engineering, or equivalent combination of education and experience required; Master's degree strongly preferred</li></ul><ul><li>
10+ years of progressive professional experience in cloud infrastructure, platform engineering, or systems architecture</li></ul><ul><li>
Minimum 3&ndash;5 years of experience operating at the Principal or Staff Engineer level, with demonstrated ownership of enterprise-wide architectural decisions</li></ul><ul><li>
Proven track record of leading large-scale cloud transformations, platform modernizations, or migrations in high-growth SaaS environments</li></ul><ul><li>
Experience in EdTech, FinTech, or compliance-heavy industries strongly preferred</li></ul><p><b>
Certifications (Preferred)</b></p><ul><li>
AWS Solutions Architect &ndash; Professional (or equivalent Azure/GCP professional-level certification)</li></ul><ul><li>
AWS Security Specialty or Certified Cloud Security Professional (CCSP)</li></ul><ul><li>
Kubernetes Administrator (CKA) or equivalent</li></ul><p><b>
Technical Skills</b></p><ul><li>
Cloud Platforms: Deep expertise in AWS (required); hands-on experience with Azure and/or GCP preferred</li></ul><ul><li>
Infrastructure as Code: Terraform, AWS CloudFormation, Pulumi, or CDK at enterprise scale</li></ul><ul><li>
Containerization &amp; Orchestration: Docker, Kubernetes (EKS/AKS/GKE), Kafka</li></ul><ul><li>
CI/CD &amp; DevOps: Advanced pipeline design with Jenkins, GitHub Actions, ArgoCD, or equivalent</li></ul><ul><li>
Networking &amp; Security: TCP/IP, DNS, SMTP, HTTP, VPCs, zero-trust architecture, WAF, distributed networks</li></ul><ul><li>
Programming &amp; Scripting: Python, Go, Ruby on Rails, or Bash (proficiency in at least two)</li></ul><ul><li>
Data &amp; Storage: SQL and NoSQL (Postgres and equivalents); familiarity with data lake and lakehouse architectures</li></ul><ul><li>
Observability: Datadog, New Relic, Prometheus/Grafana, or equivalent full-stack observability platforms</li></ul><ul><li>
AI/ML Infrastructure: Familiarity with cloud-native AI/ML infrastructure (SageMaker, Vertex AI, or equivalent) preferred</li></ul><ul><li>
Open-Source Ecosystem: Extensive experience contributing to and consuming open-source tooling in production environments</li></ul><ul><li>
Web Services &amp; APIs: Expert-level knowledge of REST, RPC, SOA, and API design principles</li></ul></div>

Cloud Architecture Engineer, Senior Principal

Eastboy Myanmar (Kuwait Branch)

<p><b>Systems Integration Lead (Digital Synergy &amp; Interoperability)</b></p><p><b>Organization:</b> Eastboy Myanmar (Kuwait Branch)</p><p><b>Location:</b> Soor Street, Mirqab, Kuwait City</p><p><b>Remuneration:</b> KWD 1,600 per month (Total Package)</p><p><b>The Integration Scope</b></p><p>Positioned on the historic Soor Street in Mirqab, Eastboy Myanmar is looking for a Systems Integration Lead to unify our multifaceted digital environments. This role is built for a technical architect who views disparate software stacks as pieces of a single, fluid puzzle. You will be responsible for ensuring that our Myanmar-originated systems and Kuwaiti branch operations communicate with zero friction, maintaining a high-integrity data flow across international borders.</p><p><b>Technical Convergence DNA</b></p><ul><li><b>Interoperability Governance:</b> Architect and maintain robust API gateways and middleware solutions to ensure seamless data exchange between legacy systems and modern cloud infrastructures.</li><li><b>Cross-Platform Synchronization:</b> Oversee the technical alignment of ERP, CRM, and localized logistics tools, ensuring 100% data consistency across the Mirqab hub.</li><li><b>Hybrid Cloud Orchestration:</b> Lead the migration and integration of on-premise hardware with distributed cloud services, optimizing for both latency and security.</li><li><b>Legacy Refactoring:</b> Identify and modernize aging technical bottlenecks within the branch infrastructure, implementing sustainable integration patterns that scale with the business.</li></ul><p><b>Candidate Profile</b></p><ul><li><b>Career Foundation:</b> 6+ years in systems engineering or technical architecture, with a proven track record of managing complex integrations in a multi-national branch environment.</li><li><b>Stack Proficiency:</b> Expert-level knowledge of REST/SOAP APIs, Microservices architecture, and ETL processes; familiarity with Azure or AWS integration suites.</li><li><b>Linguistic Standards:</b> C2-level proficiency in professional English is mandatory for coordinating technical requirements between the Kuwait branch and the Myanmar headquarters.</li><li><b>Asynchronous Knowledge Transfer:</b> Expert use of Loom to document &quot;Integration Maps&quot; and record technical handovers for cross-border engineering teams.</li></ul><p><b>The Environment</b></p><p>Eastboy Myanmar offers a unique, cross-cultural technical space in the heart of Mirqab. This position provides a competitive KWD 1,600 monthly salary and the opportunity to be the primary architect of a growing international digital bridge.</p><p>الراتب المدفوع: KWD١٬٦٠٠٫٠٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Systems Integration Lead

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