data platform architect

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.
 <br/>
 <br/>
 <ul>
  <li>
   Define and own the end-to-end architecture for core data platforms &mdash; ensuring scalability, performance, and security
  </li>
  <li>
   Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy
  </li>
  <li>
   Lead architecture and oversight of a complex ecosystem of data platforms &mdash; ensuring interoperability, consistency, and alignment across multiple vendors and technologies
  </li>
  <li>
   Design and govern the data sharing platform, enabling secure, standardized data flows across entities
  </li>
  <li>
   Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement
  </li>
  <li>
   Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics
  </li>
  <li>
   Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns
  </li>
  <li>
   Oversee platform lifecycle management &mdash; setup, operations, upgrades, migrations, and decommissioning of legacy platforms
  </li>
  <li>
   Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases
  </li>
  <li>
   Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment
  </li>
  <li>
   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>
  <li>
   Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities
  </li>
  <li>
   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

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description (JD)</b></h1><h3 class="jobSectionHeader"><b>
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</b></h3><p><b>
Location:</b> Onsite - Riyadh<br>
<b>Must Have</b>: <b>Experience over CVM implementation for Telco</b><br>
<b>Experience:</b> 8&ndash;12+ Years<br>
<b>Industry Preference:</b> Telecommunications</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly experienced <b>Data Architect / Tech Lead</b> to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Lead end-to-end <b>data architecture design</b> for enterprise data platforms and analytics solutions</li><li>
Design and implement <b>scalable data warehouses, data lakes, and ETL pipelines</b></li><li>
Drive <b>data modeling (logical &amp; physical)</b> and semantic layer design</li><li>
Oversee <b>data integration</b> across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as <b>system migrations, platform modernization, and architecture revamps</b></li><li>
Ensure <b>data quality, governance, and compliance</b> across data assets</li><li>
Build and optimize <b>high-performance data pipelines</b> and reporting systems</li><li>
Enable <b>self-service BI and analytics</b> using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into <b>technical solutions</b></li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive <b>automation in reporting and data operations</b></li><li>
Manage performance tuning and optimization of databases and queries</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Strong expertise in:<ul><li><b>
Teradata</b>, <b>Informatica</b>, <b>Apache Spark</b>, <b>Cloudera (Big Data ecosystem)</b></li><li><b>
ETL/ELT design and development</b></li><li><b>
SQL, Python, Shell Scripting</b></li></ul></li><li>
Hands-on experience with:<ul><li><b>
Data modeling tools (Erwin or equivalent)</b></li><li><b>
Data warehouse architecture</b></li><li><b>
Semantic layer design</b></li></ul></li><li>
Database experience:<ul><li><b>
Teradata, Oracle, MySQL, PostgreSQL</b></li></ul></li><li>
BI &amp; Reporting:<ul><li><b>
Tableau, MicroStrategy, QlikView</b></li></ul></li><li>
Familiarity with:<ul><li><b>
GitHub, C#, DataOps frameworks</b></li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b>
Functional Skills</b></h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><p></p><h2 class="jobSectionHeader"><b>
Leadership &amp; Soft Skills</b></h2><ul><li>
Proven experience leading <b>large-scale data programs</b></li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage <b>cross-functional and distributed teams</b></li><li>
Experience in <b>project delivery and technical governance</b></li></ul><p></p><h2 class="jobSectionHeader"><b>
Education</b></h2><ul><li>
Bachelor&rsquo;s degree in <b>Information Technology / Computer Science / Engineering</b> or related field</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Experience</b></h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in <b>large transformation programs</b> (e.g., system revamps, migrations)</li><li>
Exposure to <b>product ownership or project management roles</b></li></ul><p>
</p><p>o79llUR4WA</p></div>

Tech Lead – Data Engineering & Analytics

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>About the Role
<br>
<br>
We are looking for a Cloud Infrastructure Architect to support the delivery of data and analytics platforms. This role is hands‑on and delivery‑focused, requiring strong technical capability across Linux, container platforms, and cloud data services, alongside the ability to work effectively with client and internal delivery teams. You will contribute to the design, build, deployment, and operational readiness of environments across Azure and AWS, while continuing to deepen your infrastructure and platform engineering expertise.
<p></p><div><div><p><b>What You&rsquo;ll Be Doing
</b></p></div><div><ul><li><p>Supporting the design and implementation of infrastructure deployments, including compute, storage, networking, and data services.
</p></li></ul></div><div><ul><li><p>Building, configuring, and operating Kubernetes‑based platforms.
</p></li></ul></div><div><ul><li><p>Supporting data processing and analytics workloads, primarily using Azure Databricks and AWS EMR.
</p></li></ul></div><div><ul><li><p>Configuring and maintaining CI/CD pipelines using Azure Pipelines to enable reliable and repeatable deployments.
</p></li></ul></div><div><ul><li><p>Performing Linux administration and troubleshooting, including scripting and automation using Bash.
</p></li></ul></div><div><ul><li><p>Supporting PostgreSQL deployments, including setup, configuration, operational support, and basic performance tuning.
</p></li></ul></div><div><ul><li><p>Assisting with incident resolution, recovery activities, and root‑cause analysis, helping to ensure platform stability and resilience.
</p></li></ul></div><div><ul><li><p>Reviewing technical designs and deployment approaches, to ensure solutions are scalable, secure, and resilient.
</p></li></ul></div><div><ul><li><p>Working closely with data engineers and application teams, to deliver integrated solutions.
</p></li></ul></div><div><ul><li><p>Supporting knowledge transfer and contributing to internal capability development.<br>
</p></li></ul></div><p></p><div><p><b>What We&rsquo;re Looking For
</b></p></div><div><ul><li><p>Hands‑on experience working with Linux‑based platforms and distributed systems.
</p></li></ul></div><div><ul><li><p>Practical experience with Kubernetes, including deployment and operational support.
</p></li></ul></div><div><ul><li><p>Experience supporting data platforms such as Azure Databricks and/or AWS EMR.
</p></li></ul></div><div><ul><li><p>Experience with CI/CD tooling, ideally Azure Pipelines.
</p></li></ul></div></div><div><div><ul><li><p>Working knowledge of PostgreSQL in a delivery or operations context.
</p></li></ul></div><div><ul><li><p>Exposure to cloud platforms (Azure and/or AWS) supporting data‑intensive workloads.
</p></li></ul></div><div><ul><li><p>Understanding of availability, recovery, and operational resilience concepts.
</p></li></ul></div><div><ul><li><p>Strong communication skills, with the ability to explain technical topics clearly to non‑technical stakeholders.
</p></li></ul></div><div><ul><li><p>Experience working in a consulting or client‑facing delivery environment.<br>
</p></li></ul></div><p></p><div><p><b>What We Expect
</b></p></div><div><ul><li><p>Prior experience supporting large‑scale analytics platforms.
</p></li></ul></div><div><ul><li><p>Strong hands‑on technical delivery capability with increasing independence.
</p></li></ul></div><div><ul><li><p>Ability to own defined workstreams and deliver high‑quality outputs
</p></li></ul></div><div><ul><li><p>Proactive identification of issues, risks, and dependencies.
</p></li></ul></div><div><ul><li><p>Willingness to learn quickly and adapt to new technologies and client environments.
</p></li></ul></div><div><ul><li><p>Commitment to continuous development and contribution to team capability building.<br>
</p></li></ul></div><p></p><div><p><b>Why Join?
</b></p></div><div><p>You&rsquo;ll work on cutting‑edge data and analytics platforms, supporting high‑profile client engagements and complex technology landscapes. This role offers strong exposure to cloud, data, and resilience domains, alongside clear development pathways within PwC&rsquo;s broader Technology, Data, and Risk ecosystem.
</p></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architecture Frameworks, Business Process Modeling, Cloud Infrastructure, Cloud Infrastructure Architecture Design, Cloud Virtualization, Coaching and Feedback, Communication, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Firewall (Network Security), Google Cloud Platform, Inclusion, Intellectual Curiosity, IT Infrastructure, IT Operations, IT Service Management (ITIL) {+ 25 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Cloud Infrastructure SME - Manager

World Market

<div><div><p><b>Why You&rsquo;ll Love World Market</b></p></div><p></p><div><p>
You won&rsquo;t find a store and team like this anywhere else! We're passionate about our mission to delight customers with a unique, ever-changing marketplace of products from around the world. Our assortment is curated with stylish home d&eacute;cor, quality furniture, thoughtful gifts, time-honored handicrafts, and international food and beverage favorites. From handpicked finds to heartfelt teamwork, World Market is where uniqueness isn&rsquo;t just celebrated&mdash;it&rsquo;s what sets us apart.</p></div><p></p><div><p>
Our team means the world to us! We value authenticity, empowerment and respect and we take pride in what we do. If you&rsquo;re looking for a collaborative, fast-moving environment where your contributions are valued, growth is supported and you can have a little fun&mdash;you&rsquo;ve found it!</p></div><p></p><div><p><b><br>
When you join our team, you&rsquo;ll enjoy:</b></p><ul><li>
Benefits that support health, financial security, and personal life needs. Learn more about benefits and eligibility for Medical, Dental, and Vision Insurance, and more!</li><li>
Paid vacation and paid sick time</li><li>
401(k) plan with Roth option and company match</li><li>
Employee Assistance Program and wellness resources to be and do your best</li><li>
Sample Sales and up to 30% shopping discount on our unique finds for you and your designated shopper</li><li>
Work life balance and work from home flexibility</li><li>
Working with a team who thinks the world of you</li></ul></div><p></p><p><b>
What You&rsquo;ll Do</b></p><p></p><div><div><p>
We're seeking a Director of Data Engineering to build and lead a new data and analytics platform from the ground up. This is a hands-on leadership role &mdash; you'll set the architecture, establish the platform, hire and develop the team, and deliver the data foundation that the rest of the business runs on. This is a rare opportunity to architect a modern data and analytics foundation that will power data-driven innovation across our organization.</p></div><p></p><div><p><br>
The platform you build will provide data that powers:</p><ul><li>
Omni-channel experiences and operations across 250+ stores and e-commerce</li><li>
Unified data platform supporting customer, personalization, loyalty, and digital marketing</li><li>
Sematic analytic layer serving merchandising, supply chain, store operations, and finance</li><li>
Modern integrations with APIs and event-driven pipelines over legacy batch file patterns</li><li>
Our AI foundation for future intelligent workflows and agentic applications</li></ul><p></p><p><b>
Core Responsibilities</b></p></div><p></p><div><p><b>
Data Platform Architecture</b></p><ul><li>
Own the Snowflake data platform: architecture, zone design (raw / curated / marts), access patterns, and cost governance</li><li>
Define dimensional data modeling standards, transformation layer, data quality monitoring</li><li>
Design and manage data ingestion from complex source systems: IBM iSeries, POS, Salesforce, OMS, Loyalty, ERP, and WMS</li><li>
Lead migration from legacy batch file ingestion to CDC, API, and event-driven patterns</li></ul></div><p></p><div><p><b>
Data Governance &amp; Quality</b></p><ul><li>
Establish data ownership, quality SLAs, cataloging, and lineage practices from scratch</li><li>
Implement access controls and data security in coordination with Cybersecurity and Legal</li><li>
Build observability and monitoring for pipeline health, data freshness, and anomaly detection</li></ul></div><p></p><div><p><b>
Engineering Leadership</b></p><ul><li>
Lead a lean team of direct reports, solution vendors, and offshore engineering resources</li><li>
Set and enforce engineering standards: CI/CD, testing, version control, documentation</li><li>
Build the team over time; define hiring roadmap, onboarding, and career development</li><li>
Establish standards and uniformity across the stack, including data quality and observability</li></ul></div></div><p></p><div><div><p><b>
Integration &amp; Enablement</b></p><ul><li>
Partner with Engineering, Enterprise Applications, and Business Insights and Analytics</li><li>
Define and deliver an analytics-ready semantic layer to enable self-service BI</li><li>
Lay the MLOps and data foundation needed to support future AI and agentic capabilities</li></ul><p><br>
</p></div></div><p>The ideal candidate will be based in or near the San Francisco Bay Area and able to travel occasionally to our Alameda, CA Home Office.</p><p></p><p><b>
Experience &amp; Skills You'll Bring</b></p><p></p><p><b>
Key Qualifications</b></p><ul><li>
10+ years leadership in data warehousing, data engineering, data architecture</li><li>
5+ years leading engineering teams; experience with offshore coordination preferred</li><li>
Prior oversight of implementing greenfield EDW and data operations on a cloud platform</li><li>
Deep experience in retail or omni-channel commerce - you understand how stores, e-commerce, merchants, and supply chains generate and consume data</li><li>
Track record delivering production data platforms in complex, legacy-adjacent environments</li><li>
Program leadership - you know how to build new and lead change while keeping the lights on</li></ul><p></p><p><b>
Technical Expertise</b></p><ul><li>
Expert understanding of data architecture, data modeling, and dimensional design</li><li>
Hands-on proficiency with pipeline engineering tools (dbt, Airflow, Fivetran,)</li><li>
Deep knowledge of cloud operations with hyperscaler platforms (Azure preferred)</li><li>
Strong SQL and Python skills and understanding of database optimization</li><li>
Experience with both batch and real-time/streaming data integration patterns</li><li>
Understanding of API design, microservices, and event-driven architectures</li><li>
Familiarity with Analytics Engineering, evolving AI strategies, and MLOps principles</li></ul><p></p><p><b>
Leadership &amp; Communication</b></p><ul><li>
Builds clarity in ambiguity &mdash; you can set direction when the roadmap isn't handed to you</li><li>
Communicates fluently with both engineers and business stakeholders</li><li>
Pragmatic: balances long-term architecture vision with near-term delivery pressures</li><li>
Manages vendors and external partners effectively alongside internal team development</li><li>
Fiscally responsible to manage budgets, optimize cloud costs, and forecast spending</li><li>
Strong people leader who can motivate and coach direct-reports and offshore teams</li><li>
Collaborative partner who builds trust with IT peers, business stakeholders, and vendors</li></ul><p>
CA Pay Range is $210,000 to $250,000 annually</p><p></p><p>
#LI-LO1</p><p>
#LI-Remote</p><p></p><div><div><div><div><p>
Full time and Part time associates are eligible to participate in the Company&rsquo;s 401(k) retirement savings plan after three (3) months of service.</p><p>
Benefits for full-time employment on the first of the month following 30 days of continuous employment include offerings for programs including Medical, Dental, Vision, Prescription Drug, Life Insurance, Flexible Spending, Commuter Benefits and Employee Assistance.</p></div></div></div></div><p></p><p>
If you need reasonable accommodations to complete the on-line application, please contact the Human Resource Department:</p><p><b>
Phone: </b>1-833-680-2399</p><p><b>
Email: </b><b>hrsupport@worldmarket.com</b></p><p>
This email address is only to request reasonable accommodation for the application process due to a medical condition. If you do not need a reasonable accommodation for such reason, please use the apply button below to complete an application and upload your resume.</p><p></p><p><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable laws, which depending on your location may include the Fair Credit Reporting Act, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the Los Angeles City Fair Chance Act.</p><p></p><p><i>
An Equal Opportunity Employer</i></p><p><i>
It is the policy of World Market, LLC. to recruit, hire, train, promote, transfer and compensate our associates and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status, employment status or any other basis prohibited by applicable law.</i></p></div>

Director of Data Engineering

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>
  <br/>
 </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
  <strong>
   .
  </strong>
 </p>
 <p>
  <br/>
 </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.
  </li>
  <li>
   lead pilots, POCs and exploration of new innovative solutions, practices and patterns
  </li>
  <li>
   influence delivery of GIG Gulf Data &amp; AI projects on time, quality and budget,
  </li>
  <li>
   actively contribute to GIG Gulf&rsquo; Data &amp; AI vision and roadmap, including business case definition, project requirements, organization, and methodology,
  </li>
 </ul>
 <p>
  <br/>
 </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>
  <li>
   Drive the data and AI architecture aligned with GIG Gulf&rsquo;s business and technology strategy
  </li>
  <li>
   Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities
  </li>
  <li>
   Support selection and evolution of data and AI platforms, technologies, and strategic partners
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Data &amp; AI Platform Leadership
 </p>
 <ul>
  <li>
   Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases
  </li>
  <li>
   Guide the design of AI-ready data foundations, including structured and unstructured data pipelines
  </li>
  <li>
   Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions
  </li>
  <li>
   Work closely with information security, risk, and compliance teams to embed governance and controls
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Technical Leadership
 </p>
 <p>
  Strong technical leader with broad and in-depth understanding of:
 </p>
 <ul>
  <li>
   Data architecture, data modeling, and data governance
  </li>
  <li>
   Data engineering and cloud-native data platforms
  </li>
  <li>
   Analytics, BI, and AI/ML solution patterns
  </li>
  <li>
   Generative AI concepts including LLM-based solutions, retrieval-augmented generation (RAG), and vector-based retrieval architectures etc.
  </li>
  <li>
   Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Operational &amp; Technical Responsibilities:
  </strong>
 </p>
 <p>
  Data &amp; AI Architecture
 </p>
 <p>
  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
  </li>
  <li>
   Define target-state architectures for master data (customer, product, provider, referential data)
  </li>
  <li>
   Contribute to solution and technical architecture covering:
  </li>
  <li>
   Data lakes and analytical platforms
  </li>
  <li>
   AI/ML and GenAI-enabled use cases
  </li>
  <li>
   Design architecture that support AI workloads, including (desirable):
  </li>
  <li>
   Retrieval-augmented generation (RAG) patterns
  </li>
  <li>
   Vector storage and semantic retrieval for enterprise knowledge use cases
  </li>
  <li>
   Secure integration of public or foundation models with internal data
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Tangible Outcomes &amp; Delivery Focus
 </p>
 <p>
  Maintain a strong delivery and results orientation:
 </p>
 <ul>
  <li>
   Contribute to the data and AI roadmap aligned to business priorities
  </li>
  <li>
   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>
  <li>
   Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de-duplication initiatives
  </li>
  <li>
   Guide data engineering practices using Spark (Python, Spark SQL), data workflows and automated pipelines
  </li>
  <li>
   Support AI-enabled analytics and reporting use cases through curated data marts and BI extensions
  </li>
  <li>
   Ensure solutions are production-ready, documented, and maintainable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  AI Solution Governance &amp; Integration
 </p>
 <ul>
  <li>
   Define architectural guardrails for enterprise AI usage, including (desirable):
  </li>
  <li>
   Responsible and compliant use of LLMs and GenAI services
  </li>
  <li>
   Data access, privacy, and residency controls for AI solutions
  </li>
  <li>
   Integration patterns for AI agents and automated workflows where applicable
  </li>
  <li>
   Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments
  </li>
  <li>
   Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Communication &amp; Stakeholder Engagement
 </p>
 <ul>
  <li>
   Prepare clear, structured architectural proposals and decision papers with supporting rationale
  </li>
  <li>
   Communicate architectural choices to both technical and non-technical stakeholders
  </li>
  <li>
   Provide clear recommendations aligned with business outcomes and strategy
  </li>
  <li>
   Promote collaboration, reuse, and shared ownership across delivery teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Quality &amp; Operational Excellence
 </p>
 <ul>
  <li>
   Ensure high-quality testing, data validation, and operational readiness of data and AI platforms
  </li>
  <li>
   Support incident, problem, and defect analysis related to data and AI solutions
  </li>
  <li>
   Track and follow up on issues to ensure timely resolution and continuous improvement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  People Leadership
 </p>
 <ul>
  <li>
   Manage recruitment and onboarding of data and AI team members in collaboration with HR
  </li>
  <li>
   Set, review, and track team objectives and performance
  </li>
  <li>
   Support team development through coaching, mentoring, and targeted training
  </li>
  <li>
   Foster a collaborative culture aligned with GIG values and delivery commitments
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Business / Domain knowledge requirements
 </p>
 <ul>
  <li>
   Knowledge of Health Data industry
  </li>
  <li>
   Basic knowledge of the insurance business
  </li>
  <li>
   Basic understanding of market practices/business processes
  </li>
  <li>
   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>
  <li>
   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
  </li>
  <li>
   3-5 years in an architecture role responsible for data platforms on cloud
  </li>
  <li>
   Proven experience designing and delivering data and analytics solutions on AWS and/or Azure
  </li>
  <li>
   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
  </li>
  <li>
   Cloud Data Platforms &ndash; Hands‑on experience with AWS and/or Azure data and analytics services
  </li>
  <li>
   Data Engineering &ndash; Hands on experience designing and delivering scalable ETL/ELT pipelines using Spark and Python
  </li>
  <li>
   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
  </li>
  <li>
   Strong stakeholder management skills across business, IT, and control functions
  </li>
  <li>
   Ability to communicate architectural decisions clearly
  </li>
  <li>
   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
  </li>
  <li>
   Team player &ndash; ability to work with a team and influence a positive collaborative culture
  </li>
  <li>
   Ability to prioritize workload appropriately based on the impact on the business
  </li>
  <li>
   Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Architecture Manager

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
  </li>
  <li>
   Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Education
  <br/>
  <br/>
 </strong>
 Bachelor's Degree
 <br/>
 <br/>
 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
  </li>
  <li>
   Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
  </li>
  <li>
   Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
  </li>
  <li>
   Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
  </li>
  <li>
   Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
  </li>
  <li>
   Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
  </li>
  <li>
   Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
  </li>
 </ul>
</div>


Data Engineer Data Platforms Databricks

Hexaware Technologies

Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration; Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology; including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight) Working knowledge of API development Experience in building data pipelines in ETL/ELT methods Experience with integration of data from multiple data sources Experience in one of the NoSQL databases; such as HBase; Cassandra; MongoDB

Big Data Engineer

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