data architect

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect</b></h2><p><b>
Experience:</b> 9+ Years<br>
<b>Industry:</b> Banking / Financial Services<br>
<b>Location:Pakistan</b><br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We are seeking an experienced <b>Data Architect</b> with a strong background in <b>AI/ML and Big Data architectures</b> to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and implement <b>enterprise data architecture</b> across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable <b>data lakes, data warehouses, and lakehouse solutions</b> supporting structured and unstructured data.</li><li>
Define and manage <b>data models, metadata frameworks, and data integration patterns</b> for enterprise-wide use.</li><li>
Build and optimize <b>data pipelines</b> for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable <b>AI/ML use cases</b> by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across <b>AWS, Azure, and GCP</b>, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce <b>data governance, data quality, and data security frameworks</b> using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including <b>data engineers, data scientists, business analysts, and IT teams</b>.</li><li>
Design and oversee <b>ETL/ELT processes</b> using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as <b>Apache Airflow</b> to automate and monitor workflows.</li><li>
Ensure compliance with <b>banking regulations, data privacy laws, and security standards</b>.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Systems, Data Science, or related field</b>.</li><li>
9+ years of experience in <b>data architecture, data engineering, or related roles</b>, preferably in the banking or financial services industry.</li><li>
Strong expertise in <b>Big Data technologies</b>: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with <b>cloud platforms</b>: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in <b>data modeling (conceptual, logical, physical)</b> and database design.</li><li>
Experience with <b>data warehousing and lakehouse architectures</b> (Snowflake, Databricks).</li><li>
Strong understanding of <b>AI/ML data pipelines and frameworks</b> (Python, TensorFlow, PyTorch).</li><li>
Expertise in <b>ETL/ELT tools</b> and data pipeline orchestration.</li><li>
Knowledge of <b>data governance, metadata management, and data quality frameworks</b>.</li><li>
Familiarity with <b>banking data domains</b> (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Certifications in <b>Cloud Platforms (AWS/Azure/GCP)</b> or <b>Data Architecture</b>.</li><li>
Experience with <b>real-time streaming architectures</b>.</li><li>
Knowledge of <b>regulatory frameworks</b> such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to <b>Data Mesh or Data Fabric architectures</b>.</li><li>
Experience with <b>API-based data integration and microservices architecture</b>.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Key Competencies</b></h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul><p>
</p><p>CQRSVKAboh</p></div>

Data Architect

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect</b></h2><p><b>
Experience:</b> 9+ Years<br>
<b>Industry:</b> Banking / Financial Services<br>
<b>Location:Pakistan</b><br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We are seeking an experienced <b>Data Architect</b> with a strong background in <b>AI/ML and Big Data architectures</b> to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and implement <b>enterprise data architecture</b> across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable <b>data lakes, data warehouses, and lakehouse solutions</b> supporting structured and unstructured data.</li><li>
Define and manage <b>data models, metadata frameworks, and data integration patterns</b> for enterprise-wide use.</li><li>
Build and optimize <b>data pipelines</b> for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable <b>AI/ML use cases</b> by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across <b>AWS, Azure, and GCP</b>, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce <b>data governance, data quality, and data security frameworks</b> using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including <b>data engineers, data scientists, business analysts, and IT teams</b>.</li><li>
Design and oversee <b>ETL/ELT processes</b> using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as <b>Apache Airflow</b> to automate and monitor workflows.</li><li>
Ensure compliance with <b>banking regulations, data privacy laws, and security standards</b>.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Systems, Data Science, or related field</b>.</li><li>
9+ years of experience in <b>data architecture, data engineering, or related roles</b>, preferably in the banking or financial services industry.</li><li>
Strong expertise in <b>Big Data technologies</b>: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with <b>cloud platforms</b>: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in <b>data modeling (conceptual, logical, physical)</b> and database design.</li><li>
Experience with <b>data warehousing and lakehouse architectures</b> (Snowflake, Databricks).</li><li>
Strong understanding of <b>AI/ML data pipelines and frameworks</b> (Python, TensorFlow, PyTorch).</li><li>
Expertise in <b>ETL/ELT tools</b> and data pipeline orchestration.</li><li>
Knowledge of <b>data governance, metadata management, and data quality frameworks</b>.</li><li>
Familiarity with <b>banking data domains</b> (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Certifications in <b>Cloud Platforms (AWS/Azure/GCP)</b> or <b>Data Architecture</b>.</li><li>
Experience with <b>real-time streaming architectures</b>.</li><li>
Knowledge of <b>regulatory frameworks</b> such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to <b>Data Mesh or Data Fabric architectures</b>.</li><li>
Experience with <b>API-based data integration and microservices architecture</b>.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Key Competencies</b></h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul><p>
</p><p>f6KdxkjExk</p></div>

<div><h2 class="jobSectionHeader"><b>Job Title: Data Architect</b></h2><p><b>
Experience:</b> 9+ Years<br>
<b>Industry:</b> Banking / Financial Services<br>
<b>Location:Pakistan</b><br>
<b>Employment Type:</b> Full-Time</p><p></p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
We are seeking an experienced <b>Data Architect</b> with a strong background in <b>AI/ML and Big Data architectures</b> to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and implement <b>enterprise data architecture</b> across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable <b>data lakes, data warehouses, and lakehouse solutions</b> supporting structured and unstructured data.</li><li>
Define and manage <b>data models, metadata frameworks, and data integration patterns</b> for enterprise-wide use.</li><li>
Build and optimize <b>data pipelines</b> for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable <b>AI/ML use cases</b> by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across <b>AWS, Azure, and GCP</b>, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce <b>data governance, data quality, and data security frameworks</b> using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including <b>data engineers, data scientists, business analysts, and IT teams</b>.</li><li>
Design and oversee <b>ETL/ELT processes</b> using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as <b>Apache Airflow</b> to automate and monitor workflows.</li><li>
Ensure compliance with <b>banking regulations, data privacy laws, and security standards</b>.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Information Systems, Data Science, or related field</b>.</li><li>
9+ years of experience in <b>data architecture, data engineering, or related roles</b>, preferably in the banking or financial services industry.</li><li>
Strong expertise in <b>Big Data technologies</b>: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with <b>cloud platforms</b>: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in <b>data modeling (conceptual, logical, physical)</b> and database design.</li><li>
Experience with <b>data warehousing and lakehouse architectures</b> (Snowflake, Databricks).</li><li>
Strong understanding of <b>AI/ML data pipelines and frameworks</b> (Python, TensorFlow, PyTorch).</li><li>
Expertise in <b>ETL/ELT tools</b> and data pipeline orchestration.</li><li>
Knowledge of <b>data governance, metadata management, and data quality frameworks</b>.</li><li>
Familiarity with <b>banking data domains</b> (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Certifications in <b>Cloud Platforms (AWS/Azure/GCP)</b> or <b>Data Architecture</b>.</li><li>
Experience with <b>real-time streaming architectures</b>.</li><li>
Knowledge of <b>regulatory frameworks</b> such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to <b>Data Mesh or Data Fabric architectures</b>.</li><li>
Experience with <b>API-based data integration and microservices architecture</b>.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Key Competencies</b></h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul><p>
</p><p>Vxk31DGthf</p></div>

Qualitest

<div></div><div><div><div><div><div><b>Date: </b>28 Apr 2026
</div></div></div></div><div><div><div><div><b>Company: </b>Qualitest Group
</div></div></div></div><div><div><div><div><b>Country/Region: </b>US
</div></div></div></div><div><div><div><div><div>Are you interested in working with the World&rsquo;s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!</div>
<div>
We are looking for a Data Architect to join our growing team!</div><br>
<div></div>
<div><b>
Role &ndash; Data Architect</b></div>
<div><b>
Location &ndash; US(Remote)</b></div><br>
<div></div>
<div>
We're looking for a Data Architect Proven experience designing enterprise-scale data architecture.</div><br>
<div></div>
<div><b>
Job Description:</b></div>
<ul>
<li>Strong experience designing enterprise data architecture solutions, including data models, integration patterns, platform architecture, and scalable data pipeline frameworks.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, OCI, or GCP, with the ability to design scalable and secure cloud-based data solutions.</li>
<li>Good understanding of modern data management platforms and solutions such as Databricks, Snowflake, cloud data lakes, lakehouse platforms, or similar technologies.</li>
<li>Ability to define and implement data architecture standards, patterns, and best practices across ingestion, transformation, storage, consumption, and analytics layers.</li>
<li>Strong understanding of data governance, including data quality, metadata management, lineage, access controls, privacy, security, and compliance requirements.</li>
<li>Experience with Medallion Architecture and modern data engineering patterns, including bronze, silver, and gold layers for reliable and reusable data products.</li>
<li>Ability to partner with engineering teams on data pipeline design, performance optimization, autoscaling, CI/CD, DevOps, Terraform, Azure DevOps, and infrastructure-as-code practices.</li>
<li>Strong solutioning skills with the ability to translate business and technical requirements into scalable, secure, and cost-effective data platform solutions.</li>
</ul>
<div><b>Why QualiTest?</b></div>
<ul>
<li>Be a part of a company who strives to support for diversity and inclusion in the workplace &ndash; we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.</li>
<li>Local and global opportunities &ndash; we offer you internal rotation and international mobility opportunities to grow your career.</li>
<li>Clear view of your career and progression with the company &ndash; Qualitest is growing massively and giving you the opportunity to grow with us.</li>
<li>Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.</li>
<li>Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.</li>
<li>Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.</li>
<li>Never stop experimenting and learning with Qualitest Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more</li>
<li>Stay active and get rewarded with our Corporate Wellness Program. We pay your Gym membership and giving you opportunities to Earn additional vacation times for attendance the gym!</li>
<li><b>Salary of $160,000 - $170,000 annually.</b></li>
<li>Earn bonuses via our Client Referral and Employee Referral Program&rsquo;s. Refer and earn &ndash; tap your network for net-worth.</li>
<li>Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!</li>
</ul>
<div>Intrigued to find more about us?</div>
<ul>
<li>Visit our website at Careers - Qualitest Group</li>
</ul>
<div>If you like what you have read, send us your resume and let&rsquo;s start talking!</div></div></div></div></div></div><p></p>

NextEra

<div>
 <p>
  Dear All,
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   NextEra is
  </strong>
  looking for a dynamic resource
  <strong>
   in
  </strong>
  <strong>
   Data Analytics Architect
  </strong>
  role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience in using public cloud offerings such as Microsoft Azure, Azure Migrate, Azure SQL IaaS/PaaS, Azure Storage, Azure Key Vault, Azure IAM
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
  </li>
  <li>
   Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
  </li>
  <li>
   Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
  </li>
  <li>
   Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
  </li>
  <li>
   Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premises systems.
  </li>
  <li>
   Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
  </li>
  <li>
   Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
  </li>
  <li>
   Ensure best practices are followed in terms of code quality, data security, and scalability.
  </li>
  <li>
   Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
  </li>
  <li>
   Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
  </li>
  <li>
   Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory.
  </li>
  <li>
   Experience with ETL/ELT processes, data warehousing, and building data lakes.
  </li>
  <li>
   Strong SQL skills and familiarity with NoSQL databases.
  </li>
  <li>
   Experience with CI/CD pipelines and version control systems like Git.
  </li>
  <li>
   Knowledge of cloud security best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   Demonstrated expertise of 8+ years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
  </li>
  <li>
   Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
  </li>
  <li>
   Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
  </li>
  <li>
   Proficiency in building and optimizing query layers using Databricks SQL.
  </li>
  <li>
   Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
  </li>
  <li>
   Prior experience in developing, optimizing, and deploying Power BI reports.
  </li>
  <li>
   Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills:
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Native Arabic Speaking
  </li>
  <li>
   Strong problem-solving skills and a proactive approach to identifying and resolving issues.
  </li>
  <li>
   Leadership skills with the ability to manage and mentor a team of data engineers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have Skills:
  </strong>
 </p>
 <ul>
  <li>
   Well Versed experience in Microsoft Azure cloud
  </li>
  <li>
   Handle Microsoft Projects
  </li>
  <li>
   Power BI for dashboarding and reporting.
  </li>
  <li>
   Microsoft Fabric for analytics and integration tasks.
  </li>
  <li>
   Spark Streaming for processing real-time data streams.
  </li>
  <li>
   Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
  </li>
 </ul>
 <p>
 </p>
</div>


Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>Must Have Experience :
</div><ul><li> 10+ years in data / analytics architecture, with strong manufacturing or industrial experience
</li></ul><ul><li> 3+ years designing and deploying AI/ML and/or GenAI solutions in production
</li></ul><ul><li> Hands on experience with plant data, time series analytics, and OT/IT integration
</li></ul><ul><li> Strong consulting skills: structured problem solving, executive communication, workshop facilitation</li></ul><br>
<div><br>
</div><div>Preferred Skills
</div><ul><li> Cloud platforms (Azure / AWS / GCP), Databricks or Snowflake
</li></ul><ul><li> Streaming (Kafka / Event Hubs), ML platforms (MLflow, Azure ML, SageMaker)
</li></ul><ul><li> GenAI platforms (Azure OpenAI, Bedrock, Vertex AI) and vector databases
</li></ul><ul><li> Exposure to digital thread, smart factory, or digital twin initiatives</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>Background : We are looking for an AI &amp; Data Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design, deploy, and scale data and AI platforms across plants and enterprise systems. This role bridges operations, engineering, and IT, translating manufacturing priorities into secure, governed, and production grade AI solutions that deliver measurable business outcomes.</div><br>
<div><br>
</div><div>Travel: 25&ndash;50% (plants, client workshops, exec reviews)</div><br>
<div><br>
</div><div>What You Will Do
</div><ul><li> Lead plant to enterprise discovery workshops with Operations, Engineering, Quality, Supply Chain, and IT leaders
</li></ul><ul><li> Develop Solutions to respond to RFQ from the manufacturing customers
</li></ul><ul><li> Translate manufacturing challenges into AI use cases (predictive maintenance, quality, yield, throughput, inventory, service)
</li></ul><ul><li> Architect OT + IT data platforms integrating historians, MES, ERP, and cloud platforms
</li></ul><ul><li> Design and guide delivery of AI/ML and GenAI solutions (time series ML, computer vision, RAG based copilots)
</li></ul><ul><li> Define MLOps / LLMOps frameworks for industrial environments
</li></ul><ul><li> Create executive ready architectures, roadmaps, and value stories
</li></ul><ul><li> Act as a trusted advisor during plant visits, architecture reviews, and steering committees
</li></ul><div>________________________________________
</div><div>Core Architecture Focus
</div><ul><li> OT/IT Integration: PLC/SCADA/DCS, historians (PI/Aveva), MES, ERP (SAP), PLM, QMS
</li></ul><ul><li> Data Platforms: Lakehouse, streaming/event-driven, time series architectures
</li></ul><ul><li> AI / GenAI: Predictive analytics, anomaly detection, computer vision, maintenance &amp; operations copilots
</li></ul><ul><li> Security &amp; Governance: Industrial cybersecurity awareness, data governance, responsible AI, human in the loop
</li></ul><div>________________________________________
</div><div>Key Deliverables
</div><ul><li> Plant to enterprise AI &amp; Data target architecture
</li></ul><ul><li> Manufacturing AI roadmap (pilot scale across plants)
</li></ul><ul><li> Digital thread architecture linking design, production, quality, and service
</li></ul><div>Industrial MLOps / LLMOps framework
</div><div>Executive level value realization dashboards
</div><div>________________________________________</div><br>
<div><br>
</div><div>Base Salary Range : $110,000 to $140,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Cleveland, OH</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Technical Architect</div>
</div><div><div><b>Job Id</b></div>
<div>406659</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data architect</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Data Architect

Landmark Group

<div>
 <p>
  <strong>
   Job Title: Enterprise Data Architect
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  Landmark Digital is looking for a highly experienced
  <strong>
   Enterprise Data Architect
  </strong>
  to define, govern and evolve the enterprise-wide data architecture across retail, eCommerce, supply chain, customer and finance domains.
 </p>
 <p>
  This role will be responsible for building a
  <strong>
   scalable, secure and business-aligned data foundation
  </strong>
  that enables omnichannel growth, advanced analytics, AI/ML use cases and real-time decision-making, while reducing complexity, cost and risk across brands and geographies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience- 13- 20 Years
 </p>
 <p>
  Salary Range- 40-45 AED
 </p>
 <p>
  Location - Dubai UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Enterprise Data Architecture Ownership
  </strong>
 </p>
 <ul>
  <li>
   Own end-to-end
   <strong>
    enterprise data architecture
   </strong>
   across Digital Commerce, Retail IT, Supply Chain, CRM, Loyalty, Marketing Tech, Finance, and Data Platforms.
  </li>
  <li>
   Define
   <strong>
    current-state, target-state, and transition architectures
   </strong>
   aligned to Landmark&rsquo;s omnichannel growth and cost-efficiency objectives.
  </li>
  <li>
   Ensure data platforms can scale for
   <strong>
    high-volume retail operations, seasonal peaks, and multi-country expansion
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Omnichannel Data Enablement
  </strong>
 </p>
 <ul>
  <li>
   Architect unified data models for
   <strong>
    customer, product, inventory, order, pricing and promotions
   </strong>
   across online and offline channels.
  </li>
  <li>
   Enable real-time and near real-time data flows supporting use cases such as:
  </li>
  <li>
   Unified inventory &amp; fulfillment visibility
  </li>
  <li>
   Customer 360 &amp; personalization
  </li>
  <li>
   Omnichannel analytics and reporting
  </li>
  <li>
   Support peak traffic events (e.g., festive sales, White Wednesday equivalents) with resilient, scalable data pipelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. Data Platform Modernization
  </strong>
 </p>
 <ul>
  <li>
   Lead modernization of data platforms including
   <strong>
    data lakes, data warehouses, streaming platforms and analytics stacks
   </strong>
   .
  </li>
  <li>
   Drive adoption of
   <strong>
    cloud-native, API-first, and event-driven data architectures
   </strong>
   .
  </li>
  <li>
   Rationalize legacy data stores, point integrations, and duplicated reporting systems across brands.
  </li>
 </ul>
 <p>
  <strong>
   4. Data Governance, Quality &amp; Compliance
  </strong>
 </p>
 <ul>
  <li>
   Define and implement
   <strong>
    enterprise data governance frameworks
   </strong>
   , including:
  </li>
  <li>
   Master Data Management
  </li>
  <li>
   Metadata management &amp; lineage
  </li>
  <li>
   Data quality standards and controls
  </li>
  <li>
   Ensure compliance with
   <strong>
    data privacy, PCI, regional regulatory and security requirements
   </strong>
   by design.
  </li>
  <li>
   Establish clear data ownership, stewardship and access control models.
  </li>
 </ul>
 <p>
  <strong>
   5. Business &amp; Leadership Partnership
  </strong>
 </p>
 <ul>
  <li>
   Act as a
   <strong>
    strategic advisor
   </strong>
   to Business, Digital, Supply Chain, Finance and Analytics leaders.
  </li>
  <li>
   Translate commercial priorities into
   <strong>
    data roadmaps and investment plans
   </strong>
   .
  </li>
  <li>
   Enable faster decision-making through trusted, timely, and actionable data.
  </li>
 </ul>
 <p>
  <strong>
   6. Delivery Assurance &amp; Architecture Governance
  </strong>
 </p>
 <ul>
  <li>
   Establish and run
   <strong>
    Data Architecture Review Boards (ARB)
   </strong>
   and design authorities.
  </li>
  <li>
   Partner with Product, Engineering, Analytics, and SI partners to ensure
   <strong>
    architecture-aligned execution
   </strong>
   .
  </li>
  <li>
   Prevent architectural debt, data silos, and uncontrolled proliferation of tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   7. Vendor &amp; Platform Strategy
  </strong>
 </p>
 <ul>
  <li>
   Evaluate and govern
   <strong>
    SaaS platforms, hyperscalers, BI tools and data vendors
   </strong>
   .
  </li>
  <li>
   Drive
   <strong>
    vendor consolidation and cost optimization
   </strong>
   across brands and regions.
  </li>
  <li>
   Ensure long-term scalability and contractual alignment to target data architecture.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   8. Capability Building &amp; CoE
  </strong>
 </p>
 <ul>
  <li>
   Build and mentor a
   <strong>
    Group Data Architecture / Data Platform CoE
   </strong>
   .
  </li>
  <li>
   Upskill teams on modern data architecture, analytics engineering, and governance practices.
  </li>
  <li>
   Drive reuse of shared data assets, models, and pipelines across brands.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   15+ years in data architecture, enterprise architecture or large-scale analytics platforms.
  </li>
  <li>
   Strong experience in
   <strong>
    retail, eCommerce, consumer internet or large enterprise ecosystems
   </strong>
   .
  </li>
  <li>
   Proven experience working across
   <strong>
    multi-brand, multi-country environments
   </strong>
   .
  </li>
 </ul>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <ul>
  <li>
   Cloud data platforms (AWS / Azure / GCP)
  </li>
  <li>
   Data Lake / Lakehouse / Warehouse architectures
  </li>
  <li>
   Streaming &amp; event platforms (Kafka, Pub/Sub, Event Hub equivalents)
  </li>
  <li>
   BI &amp; Analytics tools
  </li>
  <li>
   MDM, metadata, data quality, and governance tools
  </li>
  <li>
   Strong understanding of API and integration patterns
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Leadership &amp; Behavioral Traits
  </strong>
 </p>
 <ul>
  <li>
   Strategic, systems thinker with strong business acumen
  </li>
  <li>
   Ability to influence senior stakeholders without direct authority
  </li>
  <li>
   Strong governance mindset balanced with speed and pragmatism
  </li>
  <li>
   Comfortable operating in ambiguity and scale
  </li>
 </ul>
 <p>
 </p>
</div>


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