We are searching for a highly experienced and proficient Data Architect to join our team. The ideal candidate must have a vast experience of 12-15 years in designing data engineering solutions, mainly focusing on ELT and PySpark/Hadoop tasks. Along with sturdy solution and delivery skills, the suitable applicant must also have an understanding of business expansion and stakeholder management.
Responsibilities:
- Construct and establish high-performing, scalable, and secure data architectures.
- Collaborate with business stakeholders to perceive their data requirements and convert them into technical necessities.
- Design and construct data pipelines and workflows applying ELT principles and using PySpark/Hadoop.
- Enhance data pipelines and workflows for performance and efficiency.
- Cooperate with data scientists and engineers to ensure data accessibility and usability for analytics and machine learning.
- Apply data governance and security best practices.
- Supervise and guide data engineers.
- Contribute to the complete data engineering strategy and roadmap.
Requirements/Qualifications:
- 12-15 years of experience in the data engineering field, mainly focusing on ELT and PySpark/Hadoop tasks.
- Robust experience in designing and establishing high-performing, scalable, and secure data architectures.
- Experience with data governance and security best practices.
- Experience in managing and guiding data engineers.
- Exceptional communication and interpersonal skills.
- Capability to work independently and as part of a team.
- Sturdy problem-solving and analytical capabilities.
Desirable 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.