4 Sap Data Architect jobs in Pakistan

Join to apply for the Data Architect role at Confiz

4 days ago Be among the first 25 applicants

Join to apply for the Data Architect role at Confiz

Get AI-powered advice on this job and more exclusive features.

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

• Define and evolve the data architecture roadmap, ensuring alignment with business goals and scalability of data platforms.
• Architect real-time streaming and batch data pipelines using Kafka, Apache Flink, and Spark Structured Streaming.
• Lead the design of lakehouse architectures leveraging technologies such as Apache Spark (PySpark), Delta Lake, Iceberg, and Parquet.
• Establish governance, security, and compliance frameworks across data platforms and pipelines.
• Set standards for data orchestration using tools like Apache Airflow and Azure Data Factory.
• Guide the containerization strategy with Docker, Kubernetes, and Helm for scalable deployment of data applications.
• Architect and optimize analytics engines such as Trino or Presto for high-performance query execution.
• Define and implement observability frameworks to monitor SLAs, lineage, data quality, and pipeline health.
• Collaborate with DevOps on infrastructure-as-code (IaC) using Terraform and CI/CD automation through Azure DevOps.
• Establish and advocate best practices for coding standards, modular development, and testing in Python and SQL.
• Collaborate cross-functionally with product owners, data scientists, platform teams, and engineering leads.
• Lead architecture reviews, POCs, and technology evaluations to guide technology adoption and innovation.
• Mentor and guide senior and mid-level data engineers across solutioning, technical decisions, and design patterns.
  
  

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.
• 12+ years of experience in data engineering and architecture, with at least 3+ years in a lead/architect role.
• Must have the ability to take things to completion overcoming challenges like unavailability of stakeholders or information.
• Expert-level knowledge in Python, SQL, and scalable distributed systems.
• Deep expertise in streaming architectures with Kafka, Flink, and Spark Streaming.
• Strong experience designing and implementing batch data workflows using Apache Spark (PySpark).
• In-depth knowledge of cloud data platforms, particularly Azure (preferred).
• Extensive experience with data orchestration tools like Airflow and Azure Data Factory.
• Proven ability to design and implement data lakehouse architectures with formats like Parquet, Delta Lake, and Iceberg.
• Proficiency in containerization (Docker), orchestration (Kubernetes), and deployment via Helm.
• Solid experience implementing observability, lineage, and data quality frameworks, such as Great Expectations.
• Strong background in infrastructure as code (Terraform) and CI/CD integrations.
• Deep understanding of data governance, metadata management, and data privacy standards.
• Excellent communication skills with the ability to influence stakeholders and present architectural strategies to leadership.
• Experience working in agile development environments and fostering team-wide engineering excellence.
• Experience with large-scale API architecture and scalable data access layers is a plus.
• Familiarity with AI/ML-integrated data systems or tools (e.g., text-to-SQL) is a bonus.
  
  

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & 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 & 2000-1:2018 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:

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Other
• Industries Utilities

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Join to apply for the

Data Architect

role at

Confiz 4 days ago Be among the first 25 applicants Join to apply for the

Data Architect

role at

Confiz Get AI-powered advice on this job and more exclusive features. 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

Define and evolve the data architecture roadmap, ensuring alignment with business goals and scalability of data platforms. Architect real-time streaming and batch data pipelines using Kafka, Apache Flink, and Spark Structured Streaming. Lead the design of lakehouse architectures leveraging technologies such as Apache Spark (PySpark), Delta Lake, Iceberg, and Parquet. Establish governance, security, and compliance frameworks across data platforms and pipelines. Set standards for data orchestration using tools like Apache Airflow and Azure Data Factory. Guide the containerization strategy with Docker, Kubernetes, and Helm for scalable deployment of data applications. Architect and optimize analytics engines such as Trino or Presto for high-performance query execution. Define and implement observability frameworks to monitor SLAs, lineage, data quality, and pipeline health. Collaborate with DevOps on infrastructure-as-code (IaC) using Terraform and CI/CD automation through Azure DevOps. Establish and advocate best practices for coding standards, modular development, and testing in Python and SQL. Collaborate cross-functionally with product owners, data scientists, platform teams, and engineering leads. Lead architecture reviews, POCs, and technology evaluations to guide technology adoption and innovation. Mentor and guide senior and mid-level data engineers across solutioning, technical decisions, and design patterns.

Required Skills & Experience

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline. 12+ years of experience in data engineering and architecture, with at least 3+ years in a lead/architect role. Must have the ability to take things to completion overcoming challenges like unavailability of stakeholders or information. Expert-level knowledge in Python, SQL, and scalable distributed systems. Deep expertise in streaming architectures with Kafka, Flink, and Spark Streaming. Strong experience designing and implementing batch data workflows using Apache Spark (PySpark). In-depth knowledge of cloud data platforms, particularly Azure (preferred). Extensive experience with data orchestration tools like Airflow and Azure Data Factory. Proven ability to design and implement data lakehouse architectures with formats like Parquet, Delta Lake, and Iceberg. Proficiency in containerization (Docker), orchestration (Kubernetes), and deployment via Helm. Solid experience implementing observability, lineage, and data quality frameworks, such as Great Expectations. Strong background in infrastructure as code (Terraform) and CI/CD integrations. Deep understanding of data governance, metadata management, and data privacy standards. Excellent communication skills with the ability to influence stakeholders and present architectural strategies to leadership. Experience working in agile development environments and fostering team-wide engineering excellence. Experience with large-scale API architecture and scalable data access layers is a plus. Familiarity with AI/ML-integrated data systems or tools (e.g., text-to-SQL) is a bonus.

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & 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 & 2000-1:2018 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: Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Other Industries Utilities Referrals increase your chances of interviewing at Confiz by 2x Get notified about new Data Architect jobs in

Karachi Division, Sindh, Pakistan . Karachi Division, Sindh, Pakistan 2 days ago Karachi Division, Sindh, Pakistan 1 month ago Karachi Division, Sindh, Pakistan 5 days ago Karachi Division, Sindh, Pakistan 3 days ago Karachi Division, Sindh, Pakistan 6 days ago Karachi Division, Sindh, Pakistan 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

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: Define and evolve the

data architecture roadmap , ensuring alignment with business goals and scalability of data platforms. Architect

real-time streaming

and

batch data pipelines

using Kafka, Apache Flink, and Spark Structured Streaming. Lead the design of

lakehouse architectures

leveraging technologies such as Apache Spark (PySpark), Delta Lake, Iceberg, and Parquet. Establish

governance, security, and compliance

frameworks across data platforms and pipelines. Set standards for

data orchestration

using tools like Apache Airflow and Azure Data Factory. Guide the containerization strategy with Docker, Kubernetes, and Helm for scalable deployment of data applications. Architect and optimize

analytics engines

such as Trino or Presto for high-performance query execution. Define and implement observability frameworks to monitor SLAs, lineage, data quality, and pipeline health. Collaborate with DevOps on

infrastructure-as-code (IaC)

using Terraform and CI/CD automation through Azure DevOps. Establish and advocate best practices for

coding standards, modular development, and testing

in Python and SQL. Collaborate cross-functionally with product owners, data scientists, platform teams, and engineering leads. Lead architecture reviews, POCs, and technology evaluations to guide technology adoption and innovation. Mentor and guide senior and mid-level data engineers across solutioning, technical decisions, and design patterns. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline. 12+ years of experience in data engineering and architecture, with at least 3+ years in a lead/architect role. Must have the ability to take things to completion overcoming challenges like unavailability of stakeholders or information. Expert-level knowledge in

Python ,

SQL , and scalable distributed systems. Deep expertise in

streaming architectures

with Kafka, Flink, and Spark Streaming. Strong experience designing and implementing

batch data workflows

using Apache Spark (PySpark). In-depth knowledge of

cloud data platforms , particularly Azure (preferred). Extensive experience with

data orchestration

tools like Airflow and Azure Data Factory. Proven ability to design and implement

data lakehouse architectures

with formats like Parquet, Delta Lake, and Iceberg. Proficiency in

containerization

(Docker), orchestration (Kubernetes), and deployment via Helm. Solid experience implementing

observability, lineage, and data quality frameworks , such as Great Expectations. Strong background in

infrastructure as code

(Terraform) and CI/CD integrations. Deep understanding of

data governance , metadata management, and data privacy standards. Excellent communication skills with the ability to influence stakeholders and present architectural strategies to leadership. Experience working in

agile development environments

and fostering team-wide engineering excellence. Experience with large-scale API architecture and scalable data access layers is a plus. Familiarity with AI/ML-integrated data systems or tools (e.g., text-to-SQL) is a bonus. We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products. Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015,27001:2013 & 2000-1:2018 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: