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