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enterprise data architect

Datamatics Technologies

<div>
 
 Job Title: Enterprise Data Architect
 
 
 
 Location:
 
 &nbsp;Remote with Travel (MEA Region)
 
 
 Experience:
 
 10+ Years
 
 
 Certification:
 
 TOGAF Certified (Mandatory)
 
 
 Employment Type:
 
 Full-Time
 
 
 Job Summary
 
 
 We are seeking a highly skilled and experienced
 
 Enterprise Data Architect
 
 with strong expertise in designing and implementing large-scale enterprise solutions. The ideal candidate must be
 
 TOGAF Certified
 
 and possess a minimum of 10 years of experience in enterprise and data architecture. This role involves defining data strategies, developing architecture blueprints, and ensuring alignment between IT initiatives and organizational business goals. The individual will also be responsible for optimizing data assets, establishing governance frameworks, and supporting presales activities.
 
 
 
 Key Responsibilities
 
 
 Enterprise &amp; Solution Architecture
 
 <ul>
 <li>
 
 Develop, maintain, and communicate comprehensive enterprise architecture models aligned with business objectives, IT strategy, and industry best practices.
 
 </li>
 <li>
 
 Engage with business and technology stakeholders to understand requirements and design scalable, future-ready architectural solutions.
 
 </li>
 <li>
 
 Lead the creation of data architecture blueprints, roadmaps, and implementation plans for enterprise-wide initiatives.
 
 </li>
 <li>
 
 Conduct architecture assessments to identify gaps, risks, and improvement opportunities and propose actionable recommendations.
 
 </li>
 </ul>
 
 Data Architecture &amp; Data Management
 
 <ul>
 <li>
 
 Design, implement, and maintain conceptual, logical, and physical data models supporting business and analytical needs.
 
 </li>
 <li>
 
 Define data standards, naming conventions, classification policies, and metadata frameworks to ensure data integrity and consistency.
 
 </li>
 <li>
 
 Develop end-to-end data integration strategies across diverse systems and platforms.
 
 </li>
 <li>
 
 Establish and enforce data governance frameworks to support data quality, security, compliance, and lifecycle management.
 
 </li>
 <li>
 
 Implement data profiling, cleansing, cataloging, and metadata processes to uphold data accuracy and reliability.
 
 </li>
 </ul>
 
 Database Systems &amp; Optimization
 
 <ul>
 <li>
 
 Evaluate and select appropriate database and storage technologies based on scalability, performance, and cost considerations.
 
 </li>
 <li>
 
 Design and optimize database schemas, indexes, and queries for efficient data storage, access, and performance.
 
 </li>
 <li>
 
 Provide leadership and oversight in database architecture decisions across the enterprise.
 
 </li>
 </ul>
 
 Leadership &amp; Cross-Functional Collaboration
 
 <ul>
 <li>
 
 Provide technical leadership, mentoring, and guidance to cross-functional teams, ensuring adherence to architectural standards.
 
 </li>
 <li>
 
 Support presales activities including proposals, RFPs, SOW creation, and collateral development.
 
 </li>
 <li>
 
 Foster a culture of continuous improvement and knowledge sharing across technical and non-technical teams.
 
 </li>
 <li>
 
 Stay updated on emerging technologies, trends, and best practices to continuously enhance the enterprise architecture landscape.
 
 </li>
 </ul>
 
 Travel Requirement
 
 <ul>
 <li>
 
 Willingness and readiness to travel to client locations within the
 
 MEA region
 
 for medium to long-term assignments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 </li>
 <li>
 
 
 TOGAF Certification is mandatory.
 
 
 </li>
 <li>
 
 Minimum of
 
 10 years&rsquo; experience
 
 designing and implementing enterprise and data architecture solutions in complex, large-scale environments.
 
 </li>
 <li>
 
 Strong expertise with architecture modeling tools (e.g., ArchiMate, TOGAF Architect) and enterprise architecture platforms.
 
 </li>
 <li>
 
 Proficiency in data modeling tools such as
 
 ERwin, ER/Studio
 
 , and strong knowledge of database systems (Oracle, SQL Server, MySQL, etc.).
 
 </li>
 <li>
 
 Experience with
 
 data warehousing, data lakes, big data platforms
 
 , and modern data architectures.
 
 </li>
 <li>
 
 Familiarity with
 
 cloud data platforms
 
 (AWS, Azure, GCP) and DevOps methodologies.
 
 </li>
 <li>
 
 Excellent analytical, problem-solving, and decision-making abilities.
 
 </li>
 <li>
 
 Strong communication and interpersonal skills, with the ability to engage stakeholders across all levels of the organization.
 
 </li>
 </ul>
</div>

Enterprise Data Architect

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Enterprise Data Architect</h2>
Location: Remote with Travel (MEA Region) 
Experience: 10+ Years 
Certification: TOGAF Certified (Mandatory) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled and experienced Enterprise Data Architect with strong expertise in designing and implementing large-scale enterprise solutions. The ideal candidate must be TOGAF Certified and possess a minimum of 10 years of experience in enterprise and data architecture. This role involves defining data strategies, developing architecture blueprints, and ensuring alignment between IT initiatives and organizational business goals. The individual will also be responsible for optimizing data assets, establishing governance frameworks, and supporting presales activities.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
Enterprise &amp; Solution Architecture</h3><ul><li>
Develop, maintain, and communicate comprehensive enterprise architecture models aligned with business objectives, IT strategy, and industry best practices.</li><li>
Engage with business and technology stakeholders to understand requirements and design scalable, future-ready architectural solutions.</li><li>
Lead the creation of data architecture blueprints, roadmaps, and implementation plans for enterprise-wide initiatives.</li><li>
Conduct architecture assessments to identify gaps, risks, and improvement opportunities and propose actionable recommendations.</li></ul><h3 class="jobSectionHeader">
Data Architecture &amp; Data Management</h3><ul><li>
Design, implement, and maintain conceptual, logical, and physical data models supporting business and analytical needs.</li><li>
Define data standards, naming conventions, classification policies, and metadata frameworks to ensure data integrity and consistency.</li><li>
Develop end-to-end data integration strategies across diverse systems and platforms.</li><li>
Establish and enforce data governance frameworks to support data quality, security, compliance, and lifecycle management.</li><li>
Implement data profiling, cleansing, cataloging, and metadata processes to uphold data accuracy and reliability.</li></ul><h3 class="jobSectionHeader">
Database Systems &amp; Optimization</h3><ul><li>
Evaluate and select appropriate database and storage technologies based on scalability, performance, and cost considerations.</li><li>
Design and optimize database schemas, indexes, and queries for efficient data storage, access, and performance.</li><li>
Provide leadership and oversight in database architecture decisions across the enterprise.</li></ul><h3 class="jobSectionHeader">
Leadership &amp; Cross-Functional Collaboration</h3><ul><li>
Provide technical leadership, mentoring, and guidance to cross-functional teams, ensuring adherence to architectural standards.</li><li>
Support presales activities including proposals, RFPs, SOW creation, and collateral development.</li><li>
Foster a culture of continuous improvement and knowledge sharing across technical and non-technical teams.</li><li>
Stay updated on emerging technologies, trends, and best practices to continuously enhance the enterprise architecture landscape.</li></ul><h3 class="jobSectionHeader">
Travel Requirement</h3><ul><li>
Willingness and readiness to travel to client locations within the MEA region for medium to long-term assignments.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
TOGAF Certification is mandatory.</li><li>
Minimum of 10 years&rsquo; experience designing and implementing enterprise and data architecture solutions in complex, large-scale environments.</li><li>
Strong expertise with architecture modeling tools (e.g., ArchiMate, TOGAF Architect) and enterprise architecture platforms.</li><li>
Proficiency in data modeling tools such as ERwin, ER/Studio, and strong knowledge of database systems (Oracle, SQL Server, MySQL, etc.).</li><li>
Experience with data warehousing, data lakes, big data platforms, and modern data architectures.</li><li>
Familiarity with cloud data platforms (AWS, Azure, GCP) and DevOps methodologies.</li><li>
Excellent analytical, problem-solving, and decision-making abilities.</li><li>
Strong communication and interpersonal skills, with the ability to engage stakeholders across all levels of the organization.</li></ul>
CCghNvQEJY</div>

Royal Cyber Inc.

<div>
 Microsoft Fabric Architecture &amp; Platform Design Design and implement end-to-end architecture within Microsoft Fabric, including Lakehouses, Pipelines, Warehouses, Dataflows, and Medallion layers. Define and operationalize Bronze, Silver, and Gold architecture standards to support scalable ingestion, transformation, and analytics workloads. Lead the development of unified Gold-level analytical models, including core entities such as Customers, Products, Orders, and other business-critical domains. Architect Change Data Capture (CDC) frameworks within Fabric, ensuring accurate handling of delta changes, pre-/post-image storage, and auditability. Data Integration &amp; Engineering Build and optimize data ingestion patterns from enterprise systems such as SAP S/4HANA (OData APIs), Syteline ERP, SQL-based sources, and third-party applications. Ensure data pipelines are scalable, maintainable, and aligned with enterprise data architecture best practices. Establish guidelines for schema evolution, data partitioning, and performance optimization across Lakehouse and Warehouse environments. Data Governance, Quality &amp; Master Data Collaborate with business and IT leaders to design and enhance Master Data Management (MDM) foundations and data quality standards. Lead assessments of existing data processes, identifying gaps and making recommendations to improve data reliability and governance. Work with business stakeholders to translate data quality needs, business rules, and validation requirements into technical solutions. Power BI Enablement &amp; Analytics Frameworks Partner with BI teams to optimize Power BI semantic models, datasets, and governance processes. Establish best practices for Power BI development lifecycle, version control, and release management using Azure DevOps. Support business analysts and developers by providing architectural guidance, training, and ongoing technical mentorship. Team Enablement, Leadership &amp; Collaboration Mentor cross-functional teams on Microsoft Fabric capabilities, data engineering practices, and architecture principles. Train teams in the use of Jira, Confluence, and DevOps pipelines for structured documentation and delivery. Engage with business stakeholders to understand analytical needs and translate them into scalable technical solutions. Communicate architecture decisions, risks, and recommendations to senior leadership in a clear and concise manner. Required Skills &amp; Experience 7&ndash;10+ years of experience in data architecture, data engineering, or analytics platform design. Strong hands-on expertise with Microsoft Fabric, including Lakehouse, Pipelines, Warehouse, and Dataflows. Proven experience implementing Medallion architectures (Bronze/Silver/Gold). Advanced experience integrating data from SAP S/4HANA, Syteline, or other ERP systems. Strong understanding of CDC, delta processing, and event-driven data patterns. Expertise with Power BI (data modeling, DAX, semantic models, governance). Proficiency with Azure DevOps, Git, and CI/CD practices for analytics solutions. Strong communication and stakeholder management skills. Experience developing MDM strategies or supporting enterprise data quality initiatives is a plus. Preferred Qualifications Microsoft certifications in Azure Data Engineering, BI, or related areas. Prior experience leading Fabric pilots, implementations, or modernization programs. Background in manufacturing, supply chain, or ERP-driven data environments.
</div>

Microsoft Fabric Consultant

Confiz

<div>We are seeking a Data Engineer with 8+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
Key Responsibilities
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
Required Skills &amp; Experience
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Associate Data Architect - Data Lake/Data Streaming

Optimize BPO & IT Services

Job Title: Senior Solution ArchitectPosition SummaryLocation: Clifton Block 4, KarachiRole: HybridWe are looking for a visionary and highly experienced Senior Solution Architect to lead the architectural design and delivery of enterprise-grade technology solutions. The ideal candidate possesses a deep technical background, strong analytical thinking, and the ability to align technology strategy with business objectives. This role requires hands-on leadership, cross-functional collaboration, and the capability to architect scalable, secure, and future-ready solutions.Core Responsibilities1. Architecture Strategy &amp; Design<ul><li>Define and own the end-to-end architecture of complex solutions across applications, integrations, data, and cloud.</li><li>Develop high-level and detailed architecture diagrams, technical blueprints, and standards.</li><li>Ensure architectural decisions support scalability, performance, security, and long-term maintainability.</li><li>Evaluate and recommend modern technologies, frameworks, and tools that support innovation.</li></ul>2. Technical Leadership<ul><li>Act as the technical authority for major projects and initiatives.</li><li>Guide engineering teams on design best practices, integration patterns, and solution implementation.</li><li>Conduct architecture reviews and oversee the quality of technical deliverables.</li><li>Lead the adoption of cloud-native, microservices, and modern integration approaches.</li></ul>3. Stakeholder Collaboration<ul><li>Partner with business stakeholders to gather requirements and translate them into solution architectures.</li><li>Collaborate with product managers, engineering leads, and operations teams to align on solution roadmaps.</li><li>Present technical concepts and architectural recommendations to both technical and non-technical audiences.</li></ul>4. Delivery Oversight<ul><li>Contribute to project scoping, effort estimation, and risk identification.</li><li>Support implementation teams throughout the delivery lifecycle, ensuring alignment to architecture.</li><li>Troubleshoot complex technical challenges and drive solutions to resolution.</li><li>Maintain architectural documentation and ensure continuous improvement.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, IT, or related disciplines.</li><li>7&ndash;12+ years of overall technical experience, including 5+ years in solution or enterprise architecture.</li><li>Proven expertise with cloud platforms (AWS, Azure, GCP) and cloud-native architectures.</li><li>Strong hands-on knowledge of microservices, API design, system integrations, and distributed systems.</li><li>Proficiency in modern programming languages (Java, Python, Node.js, .NET, etc.).</li><li>Experience with DevOps practices, CI/CD pipelines, Docker/Kubernetes, and automation frameworks.</li><li>Strong understanding of security architecture, identity management, and compliance standards.</li></ul>Preferred Qualifications<ul><li>Professional certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF, or PMP.</li><li>Experience in designing large-scale enterprise solutions or digital transformation projects.</li><li>Expertise in event-driven architectures, data engineering, and cloud governance.</li><li>Excellent communication, presentation, and documentation skills.</li><li>Demonstrated ability to mentor teams and lead architectural discussions.</li></ul>What We Offer<ul><li>Market-competitive salary and benefits.</li><li>Opportunity to lead high-impact projects in a modern technology environment.</li><li>Professional development support, certifications, and continuous learning opportunities.</li><li>An innovative, collaborative, and growth-oriented workplace.</li></ul>Job Type: Full-timeWork Location: In person

Senior Solution Architect

Systems Limited

<div>We are seeking an experienced Data Architect to design, implement, and optimize enterprise-level data architectures. The ideal candidate will define data standards, models, and integration frameworks to ensure data availability, quality, and scalability across the organization.<h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">Responsibilities</h2>
<ul>
<li>Design and maintain enterprise data architecture, data models, and governance frameworks.
</li>
<li>Develop logical, conceptual, and physical data models for analytical and transactional systems.
</li>
<li>Lead the design of data pipelines, data warehousing solutions, and integration architectures.
</li>
<li>Collaborate with engineering teams to implement ETL/ELT processes, data flows, and APIs.
</li>
<li>Define data security, privacy, and compliance standards (e.g., GDPR, HIPAA).
</li>
<li>Evaluate and recommend cloud data platforms (AWS, Azure, GCP).
</li>
<li>Optimize database performance and ensure high availability and disaster recovery practices.
</li>
<li>Establish and enforce data quality and metadata management guidelines.
</li>
<li>Work closely with business stakeholders to understand data needs and translate them into architectural solutions.
</li>
<li>Provide technical leadership and mentor data engineers &amp; BI teams.</li> 
</ul>
<h2 class="jobSectionHeader">Requirements</h2>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.
</li>
<li>6&ndash;10+ years of experience in data engineering, database design, or similar roles.
</li>
<li>Strong expertise in:
<ul>
<li>Data modeling (ER diagrams, dimensional modeling, OLAP/OLTP)
</li>
<li>SQL &amp; NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB)
</li>
<li>ETL/ELT tools (Informatica, Talend, Azure Data Factory, DBT, etc.)
</li>
<li>Cloud data platforms (AWS Redshift, Azure Synapse, BigQuery)
</li>
</ul></li><li>Experience with data warehousing, data lakes, and lakehouse architectures.
</li>
<li>Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus.
</li>
<li>Strong understanding of data governance, security, and metadata management tools.
</li>
<li>Excellent communication and architectural documentation skills.</li></ul></div>

Senior Managing Consultant Data Analytics

Explore 1043+ Enterprise data architect in Karachi this December. Find roles across top companies and apply now to boost your career.

1043 enterprise data architect jobs IN Karachi

Enterprise Data Architect

Enterprise Data Architect

Microsoft Fabric Consultant

Associate Data Architect - Data Lake/Data Streaming

Associate Data Architect - Data Lake/Data Streaming

Senior Solution Architect

Senior Managing Consultant Data Analytics