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Chief Data Architect
2 weeks ago
As a seasoned data architect, you will lead the full lifecycle of our data engineering solutions. This strategic role requires an experienced professional who can build secure and scalable data platforms while mentoring junior team members.
Responsibilities include designing and developing robust, scalable, and secure data architectures that meet business requirements. You will implement data solutions on various cloud platforms and define data governance, quality, and security standards. Collaboration with cross-functional teams is essential to translate business needs into technical solutions.
- Design and develop data architectures that align with business goals.
- Implement data solutions on AWS, Azure, or GCP.
- Develop and enforce data governance, quality, and security standards.
- Collaborate with engineers, scientists, and stakeholders to understand needs and create technical solutions.
- Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.
The ideal candidate has 8-12 years of experience, including 3+ years in data architecture or a similar role. Expertise in designing and implementing data solutions on one major cloud platform is required. Solid understanding of cloud-native data services, big data technologies, SQL, ETL/ELT processes, and data modeling techniques is necessary. Excellent problem-solving skills and strong communication and collaboration skills are essential.
Requirements:The ideal candidate must have:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role.
- Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).
- Solid understanding of cloud-native data services such as AWS Redshift, S3, Glue, Athena, and EMR; Azure Synapse Analytics, Data Lake, Data Factory, and Databricks; GCP BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
- Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication and collaboration skills.
Our company offers a dynamic work environment, opportunities for growth and development, and a competitive salary package. If you are passionate about data architecture and leadership, please consider joining our team.
Benefits include:
- Competitive salary package.
- Dynamic work environment.
- Opportunities for growth and development.
- Professional development programs.
