Chief Data Architect

2 weeks ago


Delhi, Delhi, India TwinPacs Sdn Bhd Full time
Job Title: Chief Data Architect

We are seeking an exceptional Chief Data Architect to lead our data engineering efforts and design innovative data solutions.

About TwinPacs Sdn Bhd:

TwinPacs Sdn Bhd is a leading technology company that requires a highly skilled Chief Data Architect with expertise in designing and implementing large-scale data systems.

Key Responsibilities:
  • Design, develop, and maintain complex ETL pipelines using PySpark Notebooks and Microsoft Fabric.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient data solutions.
  • Migrate and integrate data from legacy SQL Server environments into modern data platforms.
  • Optimize data pipelines and workflows for scalability, efficiency, and reliability.
  • Provide technical leadership and mentorship to junior developers and other team members.
  • Troubleshoot and resolve complex data engineering issues related to performance, data quality, and system scalability.
  • Develop, maintain, and enforce data engineering best practices, coding standards, and documentation.
  • Conduct code reviews and provide constructive feedback to improve team productivity and code quality.
  • Support data-driven decision-making processes by ensuring data integrity, availability, and consistency across different platforms.
Requirements:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
  • Experience with Microsoft Fabric or similar cloud-based data integration platforms.
  • 10+ years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools.
  • Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.
  • Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.
  • Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.
  • Experience working with both structured and unstructured data sources.
  • Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Proven ability to work independently, as part of a team, and in leadership roles.
  • Strong communication skills with the ability to translate complex technical concepts into business terms.
Estimated Salary: $150,000 - $200,000 per year

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