Chief Data Architect

3 days ago

Karachi, Sindh, Pakistan beBeeDataLeader Full time $100,000 - $140,000
Job Description

We are seeking an exceptional technical leader to spearhead our data engineering and architecture initiatives. As a visionary, you will define and evolve the data architecture roadmap, ensuring alignment with business goals and scalability of data platforms.

Key Responsibilities:

  • Develop and implement real-time streaming and batch data pipelines using Kafka, Apache Flink, and Spark Structured Streaming.
  • Design and lead the implementation 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.

Required Skills & Qualifications:

Technical Expertise:

  • 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.

Personal Qualities:

  • 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.
  • Ability to take things to completion overcoming challenges like unavailability of stakeholders or information.

About Us:

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 themselves.

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