Chief Data Architect

2 weeks ago

Singapore beBeeDataEngineering Full time $120,000 - $180,000

Cloud Data Engineering Leader

We are seeking a highly skilled and experienced leader to spearhead our cloud-based data initiatives.

This role will be responsible for architecting, building, and maintaining scalable data pipelines and platforms in the cloud, enabling advanced analytics and data-driven decision-making across the organization.

Key Responsibilities:

  • Leadership & Strategy
    • Lead a team of data engineers in designing and implementing cloud-native data solutions.
    • Define and drive the data engineering roadmap aligned with business goals.
    • Collaborate with cross-functional teams, including Data Science, Analytics, DevOps, and Product.
  • Architecture & Development
    • Architect and implement scalable, secure, and cost-effective data pipelines and platforms.
    • Design and optimize data lake, data warehouse, and real-time streaming architectures.
    • Ensure high availability, performance, and reliability of data systems.
  • Cloud & Tools
    • Leverage cloud platforms (AWS, Azure) for data storage, processing, and orchestration.

Utilize tools such as: Snowflake, Data Bricks, AWS Glue, Iceberg, Apache Spark, Airflow, Kafka, dbt, and Terraform.

Responsibilities:

  • Implement CI/CD pipelines and infrastructure-as-code for data workflows.
  • Establish data governance, security, and compliance standards.
  • Monitor data quality and implement automated validation and alerting mechanisms.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.
  • Conduct code reviews, technical workshops, and performance evaluations.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in data engineering, with 2+ years in a leadership role.
  • Proven expertise in cloud platforms (AWS, Azure).
  • Strong programming skills in Python, Scala, or Java.
  • Experience with big data technologies (Spark, Hadoop), ETL tools, and SQL.
  • Familiarity with data modeling, warehousing, and real-time data processing.
  • Excellent communication, leadership, and project management skills.

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