Cloud Data Engineering Lead

6 days ago

Singapore MAESTRO HUMAN RESOURCE PTE. LTD. Full time
Roles & Responsibilities

We are seeking a highly skilled and experienced Cloud Data Engineering Lead to spearhead our cloud-based data initiatives. You 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.

  • Implement CI/CD pipelines and infrastructure-as-code for data workflows.
  • Governance & Quality
    • Establish data governance, security, and compliance standards.
    • Monitor data quality and implement automated validation and alerting mechanisms.
  • Mentorship & Growth
    • 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.

5 day week @ AMK area

Maestro HR

damien lee tian hong

R1106726

16C8462

Tell employers what skills you have

Leadership
Airflow
Apache Spark
Azure
Big Data
Data Modeling
Pipelines
Hadoop
ETL
Data Governance
Mentorship
Data Engineering
Python
Data Science
Java
Orchestration

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