Engineering Manager – AWS to GCP Data Migration, AI/ML & GenAI
Naveera Technology LLC (company site, opens in a new tab)15+ yrsOn-siteDirect career pageEst. 35–60 LPA
Posted on 21 Sept
Reach people at Naveera Technology LLC
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Naveera Technology LLC you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead the end-to-end migration of enterprise data platforms from AWS to GCP including architecture assessment, migration planning, modernization, and delivery milestones.
- Architect, implement, and optimize scalable GCP data platforms supporting batch, real-time, AI/ML, and Generative AI workloads with strong governance and security.
- Manage and mentor engineering teams, establish engineering standards, collaborate with cross-functional US stakeholders, and own technical delivery of data migration and AI/ML solutions.
Minimum Requirements
- 15+ years of experience in Data Engineering, Data Architecture, Cloud or AI/ML Engineering leadership roles.
- Strong hands-on expertise with AWS and GCP data engineering, including experience migrating AWS data workloads to GCP.
- Proven experience leading AWS-to-GCP migration projects and delivering AI/ML and Generative AI solutions on GCP using Vertex AI.
- Expert-level SQL, strong Python and PySpark skills, plus experience with Terraform, Git, CI/CD pipelines, and infrastructure automation.
Ideal Candidate Profile
- Demonstrated ability to architect and lead complex cloud data platform migrations and modernization projects at enterprise scale.
- Experience in building AI/ML and Generative AI production-grade pipelines and solutions on GCP with strong operational and governance controls.
- Proven engineering manager with ability to lead cross-functional teams and communicate effectively with US-based business and technical stakeholders.