graphic designer

business analyst

creative designer

ai engineer

cms developer

data architect

Datamatics Technologies

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

Data Architect

Datamatics Global Services Ltd

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

Mashreq

<div>
 
 Job Purpose
 
 
 
 
 
 
 Data &amp; Analytics Driven Organization:
 
 One Data and Finance Reporting Function drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. RBG Data team is a stream within One Data Organization driving this agenda for Retail Banking function.
 
 <ul>
 <li>
 Principal Data Engineer/Lead Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 </li>
 <li>
 This role requires to have a knowledge of core system, retail banking systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan etc where bank operates retail business.
 </li>
 <li>
 Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 </li>
 <li>
 The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
 </li>
 </ul>
 
 
 
 
 Key result Areas
 
 
 
 
 <ul>
 <li>
 Develops and maintains scalable data pipelines of batch and real-time to support continuing increases in data demands of volume and complexity.
 </li>
 <li>
 Leading data engineering team and ensuring best practices and quality on the deliveries.
 </li>
 <li>
 Designs and Develops Data domains across banking products and laying foundation for Data Mesh architecture.
 </li>
 <li>
 Demonstrate deep knowledge and experience in databases, Datamart's, Data Modelling, Data Governance, Data Security, BI tools, ETL Solutions.
 </li>
 <li>
 Data Orchestration and Data-Ops practices enabler for the team
 </li>
 <li>
 Collaborates with analyst, data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
 </li>
 <li>
 Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
 </li>
 <li>
 Writes unit/integration tests, contributes to engineering wiki, and documents work.
 </li>
 <li>
 Experience in Automating Deployment, scheduling, monitoring, and management of datasets and pipelines
 </li>
 <li>
 Understand business requirements and identify key performance indicators (KPIs) in Data Engineering.
 </li>
 <li>
 Design data models to transform raw data into meaningful insights.
 </li>
 <li>
 Ability to Debug Data issues in data platforms and Provide L2, L3 Production support as per SLA.
 </li>
 <li>
 Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability.
 </li>
 <li>
 Evaluate company's present data infrastructure/governance/architecture, identify gaps, and develop plans to integrate the current systems with the desired future model.
 </li>
 <li>
 Identify, analyze various risks, and implement risk management controls, RCSA and contingency plans on Data Platform to mitigate future risk.
 </li>
 <li>
 Reviewing, executing, and documenting Audit activities and its corrective actions on Data Platform.
 </li>
 <li>
 Ensuring Data Platform security and compliance with data privacy regulations and company policies. Implementing access controls, data masking, and encryption where necessary to safeguard sensitive information.
 </li>
 <li>
 Understands industry trends and the practical application of existing, new, and emerging technologies.
 </li>
 <li>
 Forecasting future data storage and processing requirements and planning for scalability. Identifying potential bottlenecks and devising strategies to accommodate growing data volumes.
 </li>
 <li>
 Developing and maintaining disaster recovery plans and business continuity strategies to address potential risks and minimize downtime.
 </li>
 <li>
 Communicate and effectively articulate the DWH/DL solution/roadmaps to business and technical delivery teams.
 </li>
 <li>
 Coordinate with change management approval board to get all desired approvals and ensure production deployments on timely manner.
 </li>
 <li>
 Collaborate with Incident management team to track and report on incidents, their resolutions, and any necessary follow-up actions.
 </li>
 </ul>
 
 Interacting with Data Platform software and hardware vendors to coordinate support, updates, and service-level agreements.
 
 
 
 
 
 Knowledge, Skills and Experience
 
 
 
 
 
 
 Core Skills:
 
 
 <ul>
 <li>
 Principal Data engineer with a solid technical background and experience in data-intensive systems (&gt; 15 years)
 </li>
 <li>
 Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow
 </li>
 <li>
 Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services
 </li>
 <li>
 Proficiency in relational SQL, Graph and NoSQL databases.
 </li>
 <li>
 Proficiency in Elastic Search and Couchbase databases
 </li>
 <li>
 In-depth skills in developing and maintaining ETL/ELT data pipelines.
 </li>
 <li>
 Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.
 </li>
 <li>
 Experience in workflow management tools such as Airflow, Oozie and CI/CD tools
 </li>
 <li>
 Data streaming solution in Kafka or Confluent Kafka
 </li>
 <li>
 Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model
 </li>
 <li>
 Reporting knowledge in Power BI, Tableau, Qlik etc.
 </li>
 <li>
 Sound in Data Management Fundamentals and Data Architect, Modelling, Governance
 </li>
 <li>
 Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions
 </li>
 <li>
 Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration
 </li>
 <li>
 Knowledge of Advance Analytics and AI tools
 </li>
 </ul>
 
 
 
 
 
 Management Skills:
 
 
 <ul>
 <li>
 People management responsibilities encompass the tasks and activities involved in leading, guiding, and developing a team of individuals to achieve organizational goals effectively.
 </li>
 <li>
 Setting clear performance expectations, conducting regular performance reviews, providing feedback, and offering guidance on areas of improvement.
 </li>
 <li>
 Follow predefined processes and workflows to carry out specific tasks and activities accurately and in a timely manner.
 </li>
 <li>
 Identify opportunities for process improvement and efficiency enhancement and provide feedback or suggestions to optimize workflows.
 </li>
 <li>
 Analyze the needs, expectations, and concerns of each stakeholder. Assess their level of influence, interest, and potential power to affect the project's success.
 </li>
 <li>
 Developing a comprehensive project plan that outlines the project scope, objectives, deliverables, timelines, resource requirements, and budget.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills Desired:
 
 
 <ul>
 <li>
 Bachelors/Master&rsquo;s degree in computer science or equivalent
 </li>
 <li>
 Excellent verbal and written communication skills and good stake holder management skills
 </li>
 <li>
 Strong Analytical thinking and ability to handle stakeholders.
 </li>
 <li>
 Confident in decision making and the ability to explain processes or choices as needed.
 </li>
 <li>
 Ability to multitask on multiple projects in various phases.
 </li>
 <li>
 Agile and waterfall Project Methodology Knowledge
 </li>
 <li>
 Program Management &amp; Deliverable
 </li>
 </ul>
 
 
</div>

AVP - Technology - Data Engineer (Mashreq Global Network Pakistan)

<div>
 Data &amp; Analytics Driven Organization: One Data and Finance Reporting Function drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. RBG Data team is a stream within One Data Organization driving this agenda for Retail Banking function.
 
 - Principal Data Engineer/Lead Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 
 - This role requires to have a knowledge of core system, retail banking systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan etc where bank operates retail business.
 
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 
 - The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
</div>

AVP - Lead Data and BI.MGN Pak - TECH - Data Management.MIT

<div>
 Data &amp; Analytics Driven Organization: One Data Analytics &amp; AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale &amp; Ops Data team is a stream within One Data Organization driving this agenda for Wholesale &amp; Ops Banking function.
 
 
 - Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 
 - This role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.
 
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 
 - The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
</div>

Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Omfort Pvt.Ltd

About the RoleOmfort Private Limited is looking for a data-obsessed Senior Google &amp; TikTok Ads Executive to lead our performance marketing efforts. In this role, you won't just be &quot;running ads&quot;&mdash;you&rsquo;ll be the architect of our digital growth. We need someone who can pivot from a deep-dive into Google Search keywords to scaling viral TikTok trends without breaking a sweat (or the budget). If you live for high ROAS and low CPAs, we want to talk to you.Key Responsibilities* Strategy &amp; Execution: Plan, launch, and manage end-to-end PPC and digital advertising campaigns across Google and TikTok.* Optimization: Continuously monitor and fine-tune campaigns to hit aggressive CTR, CPC, CPA, and ROAS targets.* Research &amp; Creative: Conduct thorough keyword research and competitor analysis. You&rsquo;ll also help brainstorm and coordinate the creation of high-performing ad assets.* Reporting: Track and analyze performance daily. You&rsquo;ll turn raw data into actionable insights using Google Analytics and platform dashboards to show us what&rsquo;s working and why.* E-commerce Growth: Apply industry-specific strategies to ensure our e-commerce store stays ahead of the curve.Qualifications &amp; Skills* The Experience: Minimum of 2 years of hands-on experience managing Google Ads and TikTok Ads specifically for E-commerce.* The Technicals: Expert-level proficiency in Google Analytics and TikTok Analytics. You should be comfortable navigating these tools in your sleep.* Analytical Mindset: You are data-driven. You don't guess; you test, measure, and optimize.* Stay Sharp: Deep knowledge of the latest PPC trends, algorithm updates, and digital marketing strategies.* Soft Skills: Strong communication skills and a &quot;team-first&quot; attitude. We&rsquo;re a collaborative bunch!Job Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthWork Location: In person

Senior Google & TikTok Ads Executive

Explore 618+ Data architect in Karachi this April. Find roles across top companies and apply now to boost your career.

618 data architect jobs In Karachi

Data Architect

Data Architect

AVP - Technology - Data Engineer (Mashreq Global Network Pakistan)

AVP - Lead Data and BI.MGN Pak - TECH - Data Management.MIT

Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Senior Google & TikTok Ads Executive