6 Etl Architect jobs in Pakistan

Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Job Description

The Customer Success function is a cornerstone of NIQ Brandbank, playing a crucial role in customer onboarding, adoption, retention, development, and satisfaction for both Brandbank and Etilize solutions.

The Customer Integration function is a vital, client-facing component of NIQ Brandbank. It is responsible for managing the suite of solutions across both Brandbank and Etilize, including associated service levels. This function ensures the efficient ingestion and distribution of all relevant digital product content to meet the needs of our internal teams, stakeholders, customers, industry, and NIQ.

Job Purpose

The Client Integration Data Transformation Specialist is responsible for supporting the successful deployment of new and updated services. This includes managing standard and custom data feeds, creating custom Excel extracts, and integrating with GS1 data platforms. The role is pivotal in ensuring seamless data transformation and integration processes that meet client needs and project specifications.

Job Responsibilities

• Bespoke Integration Delivery:

• Participate in the delivery of bespoke integrations, whether client-specific or GDSN (Global Data Synchronization Network).

• Support data mapping, testing, and deployment activities to ensure accurate and efficient data integration.

• Work with detailed data specifications and customer requirements.

• Project Management:

• Meet project milestones and adhere to client specifications for both inbound and outbound projects.

• Collaborate with project managers to ensure timely and successful project delivery.

• Knowledge Maintenance:

• Maintain up-to-date knowledge of Nielsen Brandbank and local GDSN data models and capture rules.

• Continuously update skills and knowledge to stay current with industry standards and best practices.

• Understand complex data mapping and transformation procedures.

• Collaboration with Consultants and Developers:

• Work closely with consultants and developers to create patches and changes that support bespoke data outputs.

• Ensure that all changes are thoroughly tested and meet quality standards before deployment.

• Data Transformation Logic:

• Build out data transformation logic to ensure data is accurately transformed and integrated.

• Identify test scenarios and create test data to validate the transformation processes.

• Experience in the field of complex data transformation/mapping exercises.

• Data Quality Assurance:

• Ensure data quality is maintained throughout the transformation process to the NBB Product Library, GDSN Connector, and retailer sites.

• Implement quality control measures to detect and correct data issues.

• Supplier/Retailer Consultancy:

• Provide consultancy services to suppliers and retailers to maintain the relevance and quality of data coverage.

• Advise on best practices for data integration and transformation to meet bespoke and standard integration requirements.

• Stakeholder Communication:

• Maintain regular and effective communication with key stakeholders, including project managers, clients, and internal teams.

• Provide updates on project progress, address any issues, and ensure alignment with project goals.

• Effective communicator, verbally and in writing, in local and English languages.

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

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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:

#J-18808-Ljbffr

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:

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• Seniority level Mid-Senior level

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• Employment type Full-time

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• 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: