Description
You will drive the delivery of cloud data platform initiatives across AWS, Azure, and GCP.
Responsibilities
- Lead end-to-end project delivery for data platform solutions across multi-cloud environments.
- Architect and oversee data lake implementations, ensuring best practices in ingestion, storage, and governance.
- Manage cross-functional teams of cloud engineers, data engineers, architects, and analysts.
- Coordinate project milestones and timelines to align with business objectives.
- Monitor cloud costs and optimize infrastructure for performance and budget efficiency.
- Ensure compliance with security, privacy, and regulatory requirements.
Required Skills
- 15+ years of professional experience.
- Proven experience designing and deploying data lakes on AWS (S3, Glue, Lake Formation), Azure (Data Lake Storage, Synapse), and GCP (BigQuery, Cloud Storage).
- Strong understanding of data architecture, ETL/ELT pipelines, and data governance.
- Proficiency with Agile or Scrum methodologies.
- Experience managing distributed, cross-functional teams.
- Expertise in AWS, Azure, and GCP environments.
- Hands-on experience with BigQuery and Cloud Storage.
- Ability to gather requirements and provide technical guidance to stakeholders.
Preferred Skills
- PMI certification.
- Experience with DevOps, CI/CD, and Infrastructure as Code using Terraform or CloudFormation.