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Data Architect

4 weeks ago

Karachi, Sindh, Pakistan Confiz Full time

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 & 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/Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionOther
  • IndustriesUtilities

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