business analyst

cad designer

ai data scientist

architect

data analyst

data architect

Arpatech (Pvt.) Ltd

Key Responsibilities include:Enterprise Data Architecture<ul><li>Design and maintain logical and physical data architectures in:</li><li>Snowflake</li><li>Azure Fabric (OneLake)</li><li>Define single-source-of-truth strategies by domain</li><li>Build canonical data models for:</li><li>Customer, Finance, Operations, Workforce, Digital telemetry</li></ul>Standards &amp; Governance<ul><li>Set and enforce standards for:</li><li>Schema design and naming</li><li>Data lifecycle, retention, and versioning</li><li>Implement metadata, lineage, and cataloging using:</li><li>Microsoft Purview</li><li>Snowflake metadata</li><li>Ensure secure, role-based access and data isolation</li></ul>Platform &amp; Design Patterns<ul><li>Define reusable patterns for:</li><li>Data ingestion</li><li>Transformation</li><li>Consumption (BI, AI/ML, APIs)</li><li>Guide platform decisions:</li><li>Fabric Warehouse vs. Lakehouse</li><li>Snowflake vs. Azure Fabric responsibilities</li></ul>Oversight &amp; Collaboration<ul><li>Review data models and pipelines for quality, scale, and cost</li><li>Act as the escalation point for cross-domain design decisions</li><li>Align data architecture with analytics, AI, security, and compliance needs</li></ul>Required Experience:<ul><li>7+ years in data engineering or data architecture</li><li>Strong, hands-on experience with Snowflake</li><li>Solid understanding of Azure Fabric and OneLake</li><li>Experience designing enterprise-level canonical data models</li><li>Knowledge of data governance and secure access controls</li><li>Clear communicator who can work across technical and business teams</li></ul>Nice to Have:<ul><li>Experience with hybrid Snowflake + Fabric environments</li><li>Familiarity with data mesh or domain-oriented design</li><li>Exposure to AI/ML use cases on enterprise data</li><li>Experience in large or multi-business organizations</li></ul>Location: Onsite for Karachi and Islamabad | Remote for other citiesJob Type: Full-timeWork Location: In person

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

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

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

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

IBL UNISYS

About IBL:IBL-Unisys is a leading solutions and service provider in the field of technology. Globally acclaimed, highly reliable products with cutting-edge technology from the world&rsquo;s best-engineered companies and experts uniquely positioned to deliver comprehensive solutions to our customers.Key Responsibilities:Data Pipeline &amp; Dashboard Development<ul><li>Design, develop and maintain scalable &amp; efficient data pipelines to collect, process, and store structured data from multiple sources.</li><li>Build robust ETL (Extract, Transform &amp; Load) processes to support analytics and reporting needs.</li><li>Automate data workflows and ensure timely availability of data for analytics teams.</li></ul>Data Architecture &amp; Infrastructure<ul><li>Assist in developing and maintaining data architectures, including data warehouses, data lakes, and cloud-based storage solutions.</li><li>Optimize database performance, query execution, and system scalability.</li><li>Collaborate with team to ensure data integrity, quality, and security standards are met across platforms.</li></ul>Collaboration &amp; Support<ul><li>Work closely with data scientists, data analyst, and business intelligence teams to understand data requirements and deliver solutions that support analytics and reporting.</li><li>Assist with data integration projects, ensuring seamless connections between various systems and databases</li><li>Provide technical support and troubleshooting for data related issues, ensuring high data availability and accuracy.</li></ul>Data Governance &amp; Compliance<ul><li>Ensure compliance with data governance policies, security protocols, and data privacy regulations.</li></ul>Education &amp; Qualification:<ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or a related field.</li><li>4 to 5 years of experience in data engineering or a related field, with proven experience in building and maintaining data pipelines, ETL processes, and data architectures.</li></ul>Experience:<ul><li>Proficiency in programming languages such as Python, SQL, and Java.</li><li>Hands on experience with data platforms and tools like Hadoop, Spark, Kafka, or similar.</li><li>Familiarity with cloud platforms like AWS, Google Cloud, or Azure.</li><li>Experience with data warehousing tools such as Redshift, BigQuery, or Snowflake.</li><li>Experience in building and managing relational &amp; NoSQL databases (e.g. MySQL, PostgresSQL, MongoDB).</li><li>Solid understanding of data modeling, database design, and ETL principles.</li></ul>Job Type: Full-timeWork Location: In person

BI Data Engineer

<div>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.
Key Responsibilities
<ul><li>Design and develop batch data pipelines using Fabric Pipelines and PySpark.</li>
<li>Implement data quality rules, validation checks, and monitoring dashboards.</li>
<li>Develop data catalog, lineage, classification, and business glossary in Microsoft Purview.</li>
<li>Enforce data governance policies, standards, and best practices across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using Azure DevOps.</li>
<li>Integrate data quality in CI/CD pipelines through Azure DevOps.</li>
<li>Ensure compliance with data privacy regulations (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
Required Skills &amp; Experience
<ul><li>5+ years of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with Azure Data Factory, Apache Spark (PySpark), and Azure Synapse/Fabric.</li>
<li>Proven expertise in Microsoft Purview for governance and catalog management.</li>
<li>Proficient in Python and SQL for data processing and validation.</li>
<li>Understanding of data quality dimensions, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with Great Expectations or similar data validation tools is a plus.</li>
</ul>
Preferred Qualifications
<ul><li>Microsoft Certified: Fabric Data Engineer Associate or equivalent certification.</li>
<li>Experience with Microsoft Fabric and AI-driven metadata or quality tools.</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>

Principal Data Engineer – Data Quality & Governance

Explore 700+ Data architect in Karachi this December. Find roles across top companies and apply now to boost your career.