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data engineer architect

data architect

S&P Global

About the Role: 
Grade Level (for internal use): 09
 
The Team: 
Our Data Architecture team specifies data structures based on the concepts, relationships, taxonomies or classifications that reflect reality. Every day you will work with people from a wide variety of backgrounds, disciplines and geographies, and diverse data sets and metadata-driven capabilities.
 
Responsibilities and Impact: 
Specify appropriate data structures for various software development projects. Manage metadata in the Data Management System (DMS), the enterprise’s metadata repository.
 Coordinate with the Data Services engineering team on the implementation of data structures and assist with database-level performance analysis and troubleshooting
 Deliver training, technical support, and functional support
 Ensure database design and metadata conforms to data management and enterprise standards
 Ensure uniform implementation across platforms and applications
 This position provides a tremendous opportunity to grow personally and professionally. We provide considerable training so you can become comfortable with our proprietary information systems.
 You will collaborate with Scrum Masters, Project Managers, Content Analyst, Developers and DBAs to design solutions based on industry standard methodologies, and use your critical thinking skills to overcome challenges
 
What We’re Looking For: 
Basic Required Qualifications: 
Strong conceptual understanding of relational database concepts and modelling
 Strong Project Management skills, e.g., written and verbal communication, organization, requirements elicitation and consensus-building
 Strong detail-orientation
 Basic understanding of SQL programming concepts
 
Additional Preferred Qualifications: 
Hands-on experience with at least one RDBMS (MSSQL, PGSQL, Oracle)
 Basic understanding of financial concepts
 Basic knowledge and understanding of S&P Global Market Intelligence database and corporate structure, systems, products, and services
 
What’s In It For You?
 
Our Mission: 
Advancing Essential Intelligence.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group)
 
Job ID: 322836
 Posted On: 2025-12-03
 Location: Islamabad, Pakistan

Data Architect

Confiz

<div>We are seeking a Technical Project Lead / Data Architect with deep technical expertise in data architecture and machine learning project delivery. The ideal candidate will have strong hands-on experience across the Oracle technology stack (Oracle BI, Oracle Database, Oracle Data Integrator), along with proficiency in Python, Spark, and MS SQL Server.
This role requires the ability to design and implement complex data architectures, ensure governance and quality standards, and lead cross-functional teams to deliver scalable, secure, and high-performing data analytics and ML solutions. The candidate should also bring strong project management and leadership skills to drive successful execution from design through deployment.
Key Responsibilities
<ul><li>Architect and design scalable, secure, and high-performance data and ML solutions leveraging Oracle and modern data technologies.</li>
<li>Translate business requirements into technical architectures, data models, and analytics frameworks.</li>
<li>Lead end-to-end delivery of data solutions &mdash; including data ingestion, transformation, modeling, analytics, and reporting.</li>
<li>Define and enforce data design principles, standards, and best practices across all data initiatives.</li>
<li>Manage project scope, timelines, risks, and dependencies to ensure successful and timely delivery.</li>
<li>Oversee and optimize data pipelines and ETL/ELT processes using Spark, Python, ODI, and SQL-based platforms.</li>
<li>Implement and maintain data governance and quality frameworks across enterprise data assets.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders to align solutions with business objectives.</li>
<li>Provide technical leadership and mentorship, guiding teams on architecture, design, and implementation best practices.</li>
<li>Continuously evaluate new tools, technologies, and methodologies to improve architecture scalability and performance.</li>
</ul>
Required Skills &amp; Experience
<ul><li>Bachelor&rsquo;s or equivalent degree in Computer Science, Information Technology, or a related field.</li>
<li>8+ years of experience in data architecture, engineering, and ML project delivery.</li>
<li>Proven expertise in Oracle technologies &mdash; including Oracle BI, Oracle Database, and Oracle Data Integrator (ODI).</li>
<li>Strong proficiency in Python, Spark, SQL, and ETL frameworks.</li>
<li>Experience designing scalable, secure, and high-performing data platforms in on-premises environments.</li>
<li>In-depth understanding of data modeling, warehousing, integration, and real-time data processing.</li>
<li>Strong grasp of data governance and quality management principles.</li>
<li>Demonstrated experience in project management and stakeholder engagement, with a track record of delivering complex data projects.</li>
<li>Excellent problem-solving and troubleshooting abilities for complex data architectures.</li>
<li>Exceptional communication and leadership skills, with the ability to present technical concepts to non-technical stakeholders.</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>

Technical Project Lead / Data Architect

KEMAT CONSULTING

Position Title: Data Engineer Architect Department: Data &amp; Technology Employment Type: Full-Time Location: On-site &mdash; Blue Area, IslamabadTime: 9am-5pm (Uk-Time)Position OverviewThe Data Engineer Architect is responsible for designing robust, scalable, and efficient data architectures and pipelines to support enterprise-wide analytics, reporting, and machine learning initiatives. This role ensures seamless ingestion, transformation, governance, and availability of data across cloud environments. The architect will drive technical direction, security, and quality across all data systems while supporting migration from legacy infrastructures to modern cloud-based platforms.Key Responsibilities1. Data Architecture &amp; Design<ul><li>Design scalable, secure, and future-ready enterprise data architectures.</li><li>Build strong and flexible data models, ingestion frameworks, and transformation layers.</li><li>Define schemas for various data types (transactional, structured, unstructured, CRM, web analytics).</li><li>Create data environments that support both experimental (&ldquo;Lab&rdquo;) and production (&ldquo;Factory&rdquo;) analytics.</li><li>Build structures enabling predictive, prescriptive analytics and ML/AI model training.</li><li>Ensure architecture supports BI/reporting tools such as PowerBI.</li></ul>2. Data Engineering &amp; Pipeline Development<ul><li>Design and implement robust ETL/ELT data pipelines for diverse internal and external data sources.</li><li>Develop high-performance batch and real-time data processing pipelines using Spark, Kafka, Databricks, or similar tools.</li><li>Optimize pipelines for performance, efficiency, and cost-effectiveness.</li><li>Support ingestion and migration of legacy data into Snowflake or other cloud warehouses.</li></ul>3. Cloud &amp; Infrastructure<ul><li>Architect cloud-based data engineering, BI, and data science solutions on Azure, AWS, or GCP.</li><li>Build and maintain modern cloud data lakes and transformed data layers.</li><li>Work with engineering teams to design complex cloud-based environments.</li><li>Implement CI/CD pipelines and automation for data workflows.</li><li>Lead migration of legacy physical infrastructures into cloud platforms.</li></ul>4. Security, Governance &amp; Monitoring<ul><li>Apply &ldquo;quality by design&rdquo; and &ldquo;security by design&rdquo; principles in all architectures.</li><li>Ensure compliance with GDPR and company data governance frameworks.</li><li>Implement data validation, monitoring, alerting, and telemetry systems (e.g., Sifflet).</li><li>Maintain metadata, data lineage, documentation, and governance structures.</li><li>Partner with governance teams to embed real-time alerting and monitoring.</li></ul>5. Collaboration &amp; Leadership<ul><li>Work closely with the Head of Data Engineering &amp; Data Platform to align with enterprise strategy.</li><li>Collaborate with product managers, data scientists, and analytics teams to translate business needs into actionable data solutions.</li><li>Provide technical guidance, direction, and support to engineers and project teams.</li><li>Communicate architectural decisions and technical recommendations clearly to stakeholders.</li></ul>Required QualificationsEducation<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li></ul>Experience<ul><li>5+ years of experience in Data Engineering or Data Architecture.</li><li>Proven experience architecting cloud-based data engineering, BI, and/or data science solutions.</li><li>Experience migrating legacy data solutions into the cloud (refactoring, modernization).</li><li>Strong experience with database technologies, data modeling, and schema design.</li><li>Experience building data structures that support first- and third-party data analysis under GDPR guidelines.</li></ul>Technical Skills<ul><li>Very strong SQL skills.</li><li>Proficiency in Python and advanced data modeling.</li><li>Experience with Snowflake, Azure Synapse, BigQuery, or Redshift.</li><li>Hands-on experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend).</li><li>Familiarity with Spark, Kafka, Databricks, Hadoop ecosystem.</li><li>Experience with Docker, Kubernetes, Git, DevOps, and CI/CD workflows.</li><li>Strong understanding of data warehousing methodologies (Kimball/Inmon).</li><li>Knowledge of telemetry, monitoring, and alerting tools.</li></ul>Preferred Skills<ul><li>Professional certifications (Azure Data Engineer, AWS Big Data, Google Data Engineer).</li><li>Experience supporting AI/ML teams with high-quality training datasets.</li><li>Experience with MLOps or ML pipeline automation.</li><li>Strong analytical, architectural, and communication abilities.</li></ul>Soft Skills<ul><li>Excellent communication and documentation skills.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Leadership mindset with the ability to mentor junior engineers.</li><li>Detail-oriented with focus on data quality, accuracy, and governance.</li></ul>What We Offer<ul><li>Competitive salary and comprehensive benefits package.</li><li>On-site working environment in Blue Area, Islamabad.</li><li>Exposure to modern technology stacks and architectural frameworks.</li><li>Opportunities for continuous learning, certifications, and career growth.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthWork Location: In person

Data Engineer Architect

Cloudelligent

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
OJyT29uvzu</div>

AWS Data Engineer

<div>
 We are seeking a
 
 highly skilled Data Scientist (5&ndash;8 years of experience)
 
 to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
 
 
 This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.
 </li>
 <li>
 Apply statistical methods and hypothesis testing to generate actionable insights.
 </li>
 <li>
 Design, build, and validate machine learning models (regression, classification, clustering, etc.).
 </li>
 <li>
 Develop scalable data preparation and feature engineering pipelines for model training.
 </li>
 <li>
 Optimize model performance through hyperparameter tuning, feature selection, and validation.
 </li>
 <li>
 Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.
 </li>
 <li>
 Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.
 </li>
 <li>
 Evaluate model outcomes using appropriate metrics and refine models for deployment.
 </li>
 <li>
 Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.
 </li>
 <li>
 Present findings and recommendations to business stakeholders in a clear and actionable format.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 5&ndash;8 years of hands-on experience in data science, machine learning, or statistical analysis.
 </li>
 <li>
 Strong programming proficiency in Python or R for data analysis and model building.
 </li>
 <li>
 Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).
 </li>
 <li>
 Proficiency in statistical analysis, hypothesis testing, and probability theory.
 </li>
 <li>
 Experience in data preprocessing, feature engineering, and dimensionality reduction.
 </li>
 <li>
 Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).
 </li>
 <li>
 Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.
 </li>
 <li>
 Experience handling large-scale structured and unstructured datasets.
 </li>
 <li>
 Exposure to model deployment, monitoring, or integration with enterprise systems.
 </li>
 <li>
 Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).
 </li>
 <li>
 Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.
 </li>
 <li>
 Experience with deep learning frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.
 </li>
 <li>
 Understanding of A/B testing, experiment design, and data validation techniques.
 
 
 </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 Scientist

<div>We are seeking a highly skilled Data Scientist (5&ndash;8 years of experience) to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
Key Responsibilities
<ul><li>Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.</li>
<li>Apply statistical methods and hypothesis testing to generate actionable insights.</li>
<li>Design, build, and validate machine learning models (regression, classification, clustering, etc.).</li>
<li>Develop scalable data preparation and feature engineering pipelines for model training.</li>
<li>Optimize model performance through hyperparameter tuning, feature selection, and validation.</li>
<li>Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.</li>
<li>Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.</li>
<li>Evaluate model outcomes using appropriate metrics and refine models for deployment.</li>
<li>Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.</li>
<li>Present findings and recommendations to business stakeholders in a clear and actionable format.</li>
</ul>
Required Skills &amp; Experience
<ul><li>Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.</li>
<li>5&ndash;8 years of hands-on experience in data science, machine learning, or statistical analysis.</li>
<li>Strong programming proficiency in Python or R for data analysis and model building.</li>
<li>Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).</li>
<li>Proficiency in statistical analysis, hypothesis testing, and probability theory.</li>
<li>Experience in data preprocessing, feature engineering, and dimensionality reduction.</li>
<li>Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).</li>
<li>Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.</li>
<li>Experience handling large-scale structured and unstructured datasets.</li>
<li>Exposure to model deployment, monitoring, or integration with enterprise systems.</li>
<li>Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.</li>
</ul>
Preferred Qualifications
<ul><li>Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).</li>
<li>Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.</li>
<li>Experience with deep learning frameworks (TensorFlow, PyTorch).</li>
<li>Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.</li>
<li>Understanding of A/B testing, experiment design, and data validation techniques.</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>

Cortech sols pvt ltd

Job Title: Technical Lead | Python + AI Location: Gulberg Greens, Islamabad Timings: 10:00 AM - 7:00 PM Type: Full-Time &ndash; OnsitePosition OverviewWe are looking for a highly skilled Technical Lead with strong expertise in Python frameworks and AI/ML technologies. The ideal candidate will lead the development team, architect solutions, and ensure the successful delivery of high-quality, scalable products. This role requires deep technical knowledge, leadership skills, and the ability to drive innovation in AI-powered systems.Key Responsibilities:<ul><li>Lead end-to-end development using modern Python frameworks (Django, Flask, FastAPI)</li><li>Architect and deploy AI/ML solutions, including model training, optimization, and integration</li><li>Guide the team in implementing scalable backend systems and APIs</li><li>Oversee code quality, perform reviews, and enforce best engineering practices</li><li>Collaborate with design, product, and data teams for smooth project execution</li><li>Mentor junior developers and contribute to technical growth initiatives</li></ul>Key Skills:<ul><li>Strong command of Python and its frameworks (Django / Flask / FastAPI)</li><li>Experience in AI/ML, deep learning, or NLP (TensorFlow, PyTorch, Scikit-learn, etc.)</li><li>Familiarity with data pipelines, APIs, microservices, and cloud deployment</li><li>Solid understanding of system architecture and performance optimization</li><li>Strong leadership, communication, and problem-solving abilities</li></ul>Job Type: Full-timeWork Location: In person

Technical Lead (Python | AI )

Explore 557+ Data architect in Islamabad this December. Find roles across top companies and apply now to boost your career.

557 data architect jobs IN Islamabad

Data Architect

Technical Project Lead / Data Architect

Data Engineer Architect

AWS Data Engineer

Principal Data Scientist

Principal Data Scientist

Technical Lead (Python | AI )