We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams.
Responsibilities
- Design and develop robust, scalable, and secure data architectures that meet business requirements.
- Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
- Define and enforce data governance, quality, and security standards.
- Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.
- Evaluate new technologies and tools to improve our data infrastructure and practices.
- Create and maintain detailed documentation of data architecture, data flows, and processes.
- Provide technical leadership and mentorship to junior team members.
- Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.
Qualifications
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.