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Open nowPosted 2 days ago

Architect Lead - Data engineering

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 11,000 a month
Where
Central, Singapore
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Your applicationOpen nowArchitect Lead - Data engineeringMyCareersFuture · Central, Singapore

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Share of postings closed within
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  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 2 days ago

The posting

Job Description

We are looking for an experienced Architect Lead – Data Engineering to lead the design and implementation of enterprise-scale data platforms, data pipelines and cloud-based data solutions.

Key Responsibilities:

  • Lead the architecture and design of scalable data engineering and data platform solutions.
  • Design and develop high-volume data pipelines using Apache Spark and PySpark.
  • Implement data warehousing and analytics solutions using Snowflake.
  • Design workflow orchestration using Apache Airflow.
  • Develop modern data lake/lakehouse solutions using Apache Iceberg.
  • Design real-time and event-driven data pipelines using Apache Kafka.
  • Develop ETL/ELT solutions using DBT and enterprise ETL frameworks.
  • Work with GBI ETL Framework and ensure integration across enterprise data platforms.
  • Leverage cloud computing technologies to build secure, scalable and highly available data solutions.
  • Provide technical leadership, architecture guidance and mentoring to data engineering teams.
  • Drive performance tuning, data quality, scalability and reliability of data platforms.
  • Collaborate with business and technology stakeholders to translate requirements into technical solutions.
  • Explore and implement appropriate Artificial Intelligence capabilities within data platforms.

Requirements:

  • Minimum 10 years of experience in data engineering, big data or data architecture.
  • Strong hands-on experience with Spark, PySpark, Snowflake, Airflow, Kafka and Iceberg.
  • Strong experience in ETL/ELT frameworks and DBT.
  • Experience with cloud-based data platforms and modern data architecture.
  • Experience designing large-scale data pipelines and lakehouse architectures.
  • Exposure to Artificial Intelligence / AI-based data solutions.
  • Strong analytical, problem-solving, communication and technical leadership skills.
  • Degree in Computer Science, Information Technology, Engineering or a related discipline.
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