Data Architect for Cloud Data Infrastructure

1 week ago


Singapore EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. Full time

We are seeking a highly experienced Data Architect to join our team at Evolution Recruitment Solutions PTE. LTD.

This role will involve designing and implementing robust, integrated, and governed data infrastructure on Databricks, ensuring high-quality data management and extraction of valuable insights from data while maintaining data security and compliance.

The ideal candidate should have a strong background in Python, excellent problem-solving and analytical skills, as well as experience with big data technologies like Apache Spark and Hadoop on Databricks.

Average salary range for this position is estimated to be around $120,000 - $180,000 per annum, depending on location and industry standards.

Job Responsibilities:

  • Lead end-to-end data migration project from on-premises environments to Databricks with minimal downtime.
  • Work with architects to design solutions that meet functional and non-functional requirements.
  • Hands-on experience in configuring Databricks clusters, writing PySpark codes, building CI/CD pipelines for deployments.
  • Highly experienced in optimization techniques (Zordering, Auto Compaction, vacuuming).
  • Process near real-time data through Auto Loader, DLT pipelines.
  • Must have strong communication and collaboration skills.
  • Identify and resolve data-related issues and provide support to ensure data availability and integrity.
  • Optimize AWS, Databricks resource usage to control costs while meeting performance and scalability requirements.

Requirements / Qualifications:

  • Bachelor's or Master's degree in computer science, data engineering, or a related field.
  • Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
  • Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
  • Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long-running data processes.
  • Strong knowledge of SQL and NoSQL databases.
  • Familiarity with data modeling and schema design.
  • Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

  • Experience with cloud solutions focusing on data architecture.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Understanding of DevOps principles for managing and deploying data pipelines.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.


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