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data architect

office field software house

Office Field is looking for a diligent and experienced Data Architect to join our teamResponsibilities:<ul><li>Design and implement effective database solutions for stock, crypto, and financial data.</li></ul><ul><li>Establish best practices in architecture, design, and development.</li></ul><ul><li>Perform SQL tuning and optimize database responsiveness.</li></ul><ul><li>Use Snowflake to support high-frequency data ingestion and enhance data quality.</li></ul><ul><li>Implement and maintain ETL workflows with Airflow and Snowflake.</li></ul><ul><li>Ensure software quality, security, and modifiability.</li></ul><ul><li>Address data challenges in PostgreSQL and MongoDB databases.</li></ul><ul><li>Optimize ETL workflows using Apache Airflow.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science or related field.</li></ul><ul><li>6+ years&rsquo; experience in similar roles.</li></ul><ul><li>Proficiency in Firebase, MongoDB, MySQL, Hadoop, Firehose, and PostgreSQL.</li></ul><ul><li>Experience with Snowflake or similar cloud data warehousing.</li></ul><ul><li>Knowledge of API frameworks like FastAPI and real-time data ingestion.</li></ul><ul><li>Familiarity with AWS and GCP.</li></ul><ul><li>Extensive experience with Apache Airflow for data pipelines.</li></ul>Job Type: Full-timeExperience:<ul><li>Python: 1 year (Preferred)</li><li>Data Science: 1 year (Preferred)</li></ul>Work Location: In person

Data Architect

Confiz

<div>We are looking for an experienced Data Architect with 12+ years of progressive experience in data engineering, architecture design, and technical leadership. You will lead the architectural strategy and execution for our real-time and batch data platforms, ensuring scalability, reliability, and performance across a modern cloud-native ecosystem. This role is suited for a visionary technologist who can drive enterprise-grade solutions, establish best practices, and mentor high-performing engineering teams.
Key Responsibilities:
<ul><li>Define and evolve the data architecture roadmap, ensuring alignment with business goals and scalability of data platforms.</li>
<li>Architect real-time streaming and batch data pipelines using Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Lead the design of lakehouse architectures leveraging technologies such as Apache Spark (PySpark), Delta Lake, Iceberg, and Parquet.</li>
<li>Establish governance, security, and compliance frameworks across data platforms and pipelines.</li>
<li>Set standards for data orchestration using tools like Apache Airflow and Azure Data Factory.</li>
<li>Guide the containerization strategy with Docker, Kubernetes, and Helm for scalable deployment of data applications.</li>
<li>Architect and optimize analytics engines such as Trino or Presto for high-performance query execution.</li>
<li>Define and implement observability frameworks to monitor SLAs, lineage, data quality, and pipeline health.</li>
<li>Collaborate with DevOps on infrastructure-as-code (IaC) using Terraform and CI/CD automation through Azure DevOps.</li>
<li>Establish and advocate best practices for coding standards, modular development, and testing in Python and SQL.</li>
<li>Collaborate cross-functionally with product owners, data scientists, platform teams, and engineering leads.</li>
<li>Lead architecture reviews, POCs, and technology evaluations to guide technology adoption and innovation.</li>
<li>Mentor and guide senior and mid-level data engineers across solutioning, technical decisions, and design patterns.</li>
</ul>
Required Skills &amp; Experience:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related discipline.</li>
<li>12+ years of experience in data engineering and architecture, with at least 3+ years in a lead/architect role.</li>
<li>Must have the ability to take things to completion overcoming challenges like unavailability of stakeholders or information.</li>
<li>Expert-level knowledge in Python, SQL, and scalable distributed systems.</li>
<li>Deep expertise in streaming architectures with Kafka, Flink, and Spark Streaming.</li>
<li>Strong experience designing and implementing batch data workflows using Apache Spark (PySpark).</li>
<li>In-depth knowledge of cloud data platforms, particularly Azure (preferred).</li>
<li>Extensive experience with data orchestration tools like Airflow and Azure Data Factory.</li>
<li>Proven ability to design and implement data lakehouse architectures with formats like Parquet, Delta Lake, and Iceberg.</li>
<li>Proficiency in containerization (Docker), orchestration (Kubernetes), and deployment via Helm.</li>
<li>Solid experience implementing observability, lineage, and data quality frameworks, such as Great Expectations.</li>
<li>Strong background in infrastructure as code (Terraform) and CI/CD integrations.</li>
<li>Deep understanding of data governance, metadata management, and data privacy standards.</li>
<li>Excellent communication skills with the ability to influence stakeholders and present architectural strategies to leadership.</li>
<li>Experience working in agile development environments and fostering team-wide engineering excellence.</li>
<li>Experience with large-scale API architecture and scalable data access layers is a plus.</li>
<li>Familiarity with AI/ML-integrated data systems or tools (e.g., text-to-SQL) is a bonus.</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, 27001:2013 &amp; 20000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the 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>

Systems Limited

<div>We are seeking a skilled and versatile Data Developer with hands-on experience in Snowflake, Power BI, T-SQL/SSIS, and Microsoft Fabric. The ideal candidate will be responsible for designing, developing, and supporting data integration, reporting, and analytics solutions that support business decision-making and operations. 
 
Responsibilities:
<ul>
<li>Design, implement, and maintain Snowflake data architecture.</li>
<li>Troubleshoot and resolve issues related to Snowflake environments.</li>
<li>Develop, optimize, and manage complex T-SQL queries for ETL processes.</li>
<li>Design, implement, deploy, and support SSIS packages for seamless data integration.</li>
<li>Monitor and troubleshoot SSIS jobs to ensure reliable data workflows.</li>
<li>Develop features and enhancements related to data management, orchestration, and reporting within the Microsoft Fabric platform</li>
</ul>
Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li>
<li>Proven experience with:</li>
<li>Snowflake development and support.</li>
<li>Power BI dashboard/report development and performance tuning.</li>
<li>T-SQL scripting for data transformation and analysis.</li>
<li>SSIS package design, deployment, and troubleshooting.</li>
<li>Experience with Microsoft Fabric for modern data platform development.</li>
<li>Familiarity with C# and .NET Core Web API development is a plus.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment</li></ul></div>

Sublime Wireless Inc

Job Title: AI Architect &ndash; Software &amp; Data Engineering, LLM/RAG SpecialistLocation: Hybrid (3 days onsite / 2 days remote -Karachi or Islamabad)Type: Full&#8209;timeAbout the RoleWe are looking for a hands-on AI Architect who bridges software development, data engineering, and advanced AI/ML. You will design and code AI solutions that leverage large language models, embeddings and retrieval&#8209;augmented generation while ensuring robust data pipelines and integration with our software products. This role requires a strong foundation in software engineering and data engineering along with deep expertise in AI/ML.Key Responsibilities1. Cross&#8209;Disciplinary Solution Design&#9675; Engage with stakeholders to understand product requirements and architectend&#8209;to&#8209;end solutions incorporating data ingestion, model training, deploymentand monitoring.&#9675; Design systems that combine traditional software components with AI/ML modelsand modern data engineering practices.2. Hands&#8209;On Development&#9675; Write and maintain production&#8209;quality code across back&#8209;end services, datapipelines and model inference layers, primarily using Python and at least oneother language (e.g. .Net, Java).&#9675; Build RESTful or gRPC APIs to expose AI functionality and integrate withfront&#8209;end and other microservices.3. Data Engineering &amp; Pipeline Construction&#9675; Develop and manage data pipelines for ingestion, transformation and storage(using tools such as Apache Spark, Kafka, Airflow, SQL/NoSQL databases).&#9675; Work with vector databases and embedding stores for retrieval&#8209;augmentedsystems.&#9675; Ensure data quality, schema management and robust ETL processes thatsupport model training and inference.4. Advanced AI/ML &amp; LLM Expertise&#9675; Train, fine&#8209;tune and deploy machine&#8209;learning and deep&#8209;learning models,including large language models (LLMs) and transformer architectures (e.g.,GPT, Llama, Mistral).&#9675; Implement embedding techniques (e.g., sentence and document embeddings),retrieval&#8209;augmented generation (RAG) pipelines and hybrid search (vector +keyword).&#9675; Build customised pipelines using frameworks like LangChain, LLamaIndex orsimilar to integrate models with diverse data sources.5. System Optimisation &amp; Scalability&#9675; Optimise model performance (latency, throughput and accuracy) for productionworkloads, using techniques such as model quantisation, batching and caching.&#9675; Scale services using containerisation (Docker) and orchestration (Kubernetes) oncloud platforms (AWS, Azure, GCP).6. Collaboration &amp; Mentorship&#9675; Collaborate with software engineers, data scientists and DevOps teams to delivercohesive solutions.&#9675; Mentor junior engineers and share best practices in software development, dataengineering and AI/ML.7. Monitoring &amp; Maintenance&#9675; Implement observability for data pipelines and AI services (logging, metrics,model drift detection).&#9675; Continuously monitor and iterate models and pipelines based on feedback andnew data.Required Skills &amp; Qualifications&#9679; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, ArtificialIntelligence or related field.&#9679; Experience: Minimum 6&ndash;8 years in software development and data engineering, with atleast 3 years of hands&#8209;on AI/ML experience.&#9679; Proficiency in Python and deep familiarity with AI/ML frameworks (e.g., PyTorch,TensorFlow, Scikit&#8209;learn) and LLM libraries (e.g., Hugging Face Transformers,LangChain).&#9679; Hands&#8209;on experience building and deploying large language models, embeddings, RAGpipelines and vector&#8209;database&#8209;powered applications.&#9679; Strong knowledge of data engineering tools (Spark, Kafka, Airflow), relational andNoSQL databases, and proficiency in SQL.&#9679; Experience designing and operating microservices, APIs and containerised applicationson cloud platforms.&#9679; Solid understanding of MLOps best practices (CI/CD for ML, model versioning,automated testing, monitoring).&#9679; Strong problem&#8209;solving and communication skills; ability to translate businessrequirements into technical designs.Preferred Qualifications&#9679; Experience with GPU orchestration (NVIDIA Triton, KServe) for model serving.&#9679; Knowledge of privacy&#8209;preserving techniques and responsible AI practices.&#9679; Exposure to reinforcement learning or recommendation systems.What We Offer&#9679; The chance to work on cutting&#8209;edge AI projects integrating software, data and advancedmodels.&#9679; A collaborative environment where hands&#8209;on coding and architectural leadership gohand in hand.&#9679; Support for ongoing learning and professional development in AI/ML and dataengineering.&#9679; Health Insurance&#9679; Gadget AllowanceJob Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthWork Location: In person

AI Architect – Software & Data Engineering, LLM/RAG Specialist

<div>The candidate will be responsible for designing, building, and managing data infrastructure and pipelines to support analytics and machine learning initiatives. This role involves working closely with data scientists, analysts, and other teams to ensure data integrity, optimize data processing, and create robust data solutions 


Responsibilities:
<ul>
<li>Design, develop, and optimize data pipelines and workflows to gather, clean, and process large datasets.</li>
<li>Build scalable and reliable data models that support analytics and reporting needs.</li>
<li>Develop and maintain ETL processes to collect, store, and retrieve data efficiently.</li>
<li>Collaborate with data scientists and analysts to define and implement data requirements.</li>
<li>Implement data quality checks and monitoring processes to ensure data integrity.</li>
<li>Maintain and optimize data infrastructure, ensuring high availability and performance.</li>
<li>Integrate data from various sources and manage data storage solutions in cloud and on-premise environments.</li>
<li>Document data architecture, pipelines, and ETL processes.</li></ul> 


Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Proven experience as a Data Engineer or similar role.</li>
<li>Proficiency in SQL, Python, and ETL tools.</li>
<li>Experience with data storage systems such as SQL databases, data lakes, and warehouses.</li>
<li>Strong knowledge of cloud platforms like AWS, Azure, or GCP.</li>
<li>Familiarity with big data technologies (e.g., Hadoop, Spark).</li>
<li>Knowledge of data modeling, data architecture, and data warehousing</li></ul></div>

Data Engineer

<div>We are seeking an experienced Data Engineer with hands-on expertise in building and optimizing data pipelines and workflows. The ideal candidate will have strong experience with Azure Data Factory, Microsoft Fabric, and PySpark.

Responsibilities:
<ul>
<li>Design, develop, and maintain scalable data pipelines using Azure Data Factory.
</li>
<li>Work with Microsoft Fabric to enhance data warehousing and analytics capabilities.
</li>
<li>Develop and optimize ETL processes using PySpark.
</li>
<li>Ensure data integrity, quality, and availability across systems.
</li>
<li>Collaborate with cross-functional teams including data scientists, analysts, and product managers.
</li>
<li>Monitor and troubleshoot data workflows to ensure optimal performance and reliability.
</li>
<li>Maintain documentation and follow best practices in data engineering.</li></ul> 

<h3 class="jobSectionHeader">Requirements:</h3>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
</li>
<li>5+ years of experience in data engineering or similar roles.
</li>
<li>Proven expertise in Azure Data Factory
</li>
<li>Hands-on experience with Microsoft Fabric.
</li>
<li>Proficiency in PySpark and distributed data processing.
</li>
<li>Strong understanding of data warehousing concepts and cloud architecture.
</li>
<li>Excellent problem-solving and communication skills.
</li>
<li>Ability to work independently and within a team environment.</li></ul></div>

Senior Consultant Data Analytics

VIRTUOSOFT

We are seeking an accomplished Data Platform Lead to accelerate the transformation journey for our client. The ideal candidate will possess extensive experience designing, implementing, and managing large-scale data platforms&mdash;specifically with Oracle Data Platform on Oracle Cloud. The role involves leading the migration of data from legacy data warehouses to a modern, cloud-based Oracle data platform, ensuring seamless integration, robust data governance, advanced metadata management, and cutting-edge reporting capabilities. Prior experience in banking environments within the Middle East is highly desirable.Key Responsibilities<ul><li>Lead end-to-end implementation of Oracle Data Platform on Oracle Cloud, including architecture design, integration, security, performance optimization, and scalability planning.</li><li>Oversee the migration of large volumes of data from legacy data warehouses to the target Oracle Data Platform on the cloud, ensuring minimal disruption and data integrity.</li><li>Develop and enforce data governance and metadata management frameworks, as well as quality and compliance standards in accordance with banking regulations in KSA and the wider Middle East region.</li><li>Collaborate with business stakeholders, IT teams, vendors, and partners to capture requirements, identify opportunities, and deliver robust reporting solutions.</li><li>Design and implement state-of-the-art reporting services and analytics capabilities to empower business intelligence and strategic decision-making.</li><li>Lead, mentor, and upskill a cross-functional team of data engineers, architects, and analysts, fostering a culture of innovation and excellence.</li><li>Champion continuous improvement initiatives, leveraging emerging Oracle cloud technologies, automation, and best practices in data platform management.</li><li>Prepare and present progress updates, roadmaps, and migration strategies to senior management and other stakeholders.</li><li>Ensure all data platform implementations adhere to strict security standards, disaster recovery, business continuity policies, and comprehensive metadata management practices.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Engineering, or a related field.</li><li>10&ndash;15 years of hands-on experience in implementing enterprise-scale data platforms and reporting services.</li><li>Proven experience in the migration from legacy data warehouse environments to modern cloud-based Oracle Data Platforms.</li><li>Expertise in Oracle Cloud Infrastructure (OCI), Oracle Data Platform architecture, data migration tools, and metadata management solutions.</li><li>Strong background in data modeling, ETL/ELT processes, metadata management, data quality, governance, and security best practices.</li><li>Extensive experience in the banking and financial services sector, preferably within the Middle East and ideally in the Kingdom of Saudi Arabia (KSA).</li><li>Demonstrated leadership in managing large, cross-functional teams and complex programs.</li><li>Excellent communication, stakeholder management, and project delivery skills.</li><li>In-depth knowledge of data governance frameworks and metadata management tools and methodologies.</li><li>Knowledge of KSA banking regulations and data compliance requirements is highly desirable.</li><li>Certifications in Oracle Data Platform, Oracle Cloud, or related data management disciplines are an advantage.</li></ul>Job Type: Full-timeWork Location: In person

Data Platform Lead

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593 data architect jobs IN Karachi

Data Architect

Data Architect

Data Architect

AI Architect – Software & Data Engineering, LLM/RAG Specialist

Data Engineer

Senior Consultant Data Analytics

Data Platform Lead