Google Cloud Data Architect

Location: Singapore
Job Type: Permanent
Contact: Chelsea Phan
Email: email Chelsea
Posted: about 1 month ago

​We are currently working with a leading global IT consultancy client, who has outstanding expertise in security, digital and cloud. They are looking for high performing Google Cloud data architect talents to join their growing team and provide consulting service to customers from various industries.


  • Work closely with clients from various domains to gather requirements and translate those to suitable technical designs

  • Design data infrastructures architecture for ingestion of real- time and batch data streaming

  • Lead architectural discussion to review existing systems and operating methodologies, and suggest improvement in designs to meet clients’ current and future technical requirements

  • Create data models to be used in big data environments for Machine Learning purposes

  • Outline ETL pipelines infrastructures to optimize ingestion on data from various sources, and to be hosted on Google Cloud Platform

  • Work closely with business users to plan requirements and develop cloud strategies and migration projects

  • Continuously identify and improve data automation process

  • Has solid experience in DevOps culture, implementation of CICD pipeline and software automation

  • Provide expertise in Master Data Management, Meta Data Management and Data Quality


  • Have at least 6 years of relevant experience in working with ETL pipelines, EDW and Big Data Technologies

  • Must have strong technical background in Python development and Google Cloud Big Query

  • Good to have working knowledge in DataProc and DataFlows with Java or Python on Google Cloud Platform

  • Ideal to have experience in building data warehouse on serverless Google Cloud Platform

  • Possess extensive experience in applying SQL across different types of databases

  • Experienced with ingesting and transforming both structured and unstructured data using cloud analytic tools such as Cloudera and Hadoop

  • Experienced with data mapping and data modelling

  • Have the proven records of using one or more programming languages such as Python, JavaScript, Java, R, PHP, UniShell and Ruby

  • Have strong working experience in Google Services including Streaming + Batch, Cloud Storage, Big Query, GKE, Big Table and Compute Engines

  • Have exposure to contemporary data mining and cloud computing tools such as AWS Cloud, Microsoft Azure, HDFS, Hadoop, Mapr and Spark


For a confidential discussion on this or any other opportunities available in the market please contact Chelsea Phan at - Direct Line:+65 6914 9946

EA License No: 16S8303 - EA Registration No: R2199999