We are looking for a highly experienced and skilled Data Architect to join our team. The ideal candidate will have 12-15 years of experience in architecting solutions of data engineering, focusing on ELT and PySpark/Hadoop workloads. In addition to strong solution and delivery skills, the ideal candidate will also have a view on business growth and managing stakeholders.
Responsibilities:
- Design and implement high-performance, scalable, and secure data architectures.
- Work with business stakeholders to understand their data needs and translate them into technical requirements.
- Design and develop data pipelines and workflows using ELT principles and PySpark/Hadoop
- Optimize data pipelines and workflows for performance and efficiency
- Work with data scientists and engineers to ensure that data is accessible and usable for analytics and machine learning
- Implement data governance and security best practices
- Manage and mentor data engineers
- Contribute to the overall data engineering strategy and roadmap
Requirements
Qualifications:
- 12-15 years of experience in data engineering, with a focus on ELT and PySpark/Hadoop workloads
- Strong experience in designing and implementing high-performance, scalable, and secure data architectures.
- Experience with data governance and security best practices
- Experience in managing and mentoring data engineers
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Strong problem-solving and analytical skills
Desired Skills:
- Experience with cloud computing platforms such as AWS, Azure, or GCP
- Experience with big data technologies such as Spark, Hadoop, Hive, and Kafka
- Experience with data warehousing and data lakes
- Experience with DevOps and MLOps practices
- Experience with data science and machine learning, streaming data processing
- Experience with real-time analytics, data visualization and reporting tools
