Principal Data Architect - Multi-Cloud (GCP & Azure)
Salary not listed • Hyderabad • Full-time
Posted 12d ago
Job Location
Hyderabad
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
We are seeking a Principal Data Architect to lead the design and implementation of scalable Data Lakehouse solutions across Google Cloud Platform (GCP) and Microsoft Azure. This role involves architecting automated, agent-driven data pipelines for complex migrations from on-premises systems to the cloud, and collaborating directly with clients to understand their needs and translate them into robust architectural blueprints. You will manage the customer technical backlog, define technical roadmaps, and ensure alignment with business goals. The position requires a blend of strategic architecture discussions and hands-on solutioning, including prototyping and performance tuning.
Responsibilities
- Lead end-to-end architecture, design, and implementation of multi-cloud Data Lakehouse solutions on GCP and Azure.
- Architect and deploy automated, agent-driven data pipelines for on-premises to cloud migrations.
- Collaborate with clients to understand business goals and translate them into architectural blueprints and roadmaps.
- Manage the customer technical backlog, translating business epics into technical user stories and prioritizing technical debt.
- Design and implement data pipelines for real-time and batch ingestion using modern orchestration and streaming frameworks.
- Establish and enforce best practices for data cataloging, metadata management, lineage, and data quality across multi-cloud systems.
- Define and implement robust data security, identity management, encryption, and compliance standards.
- Steer technical direction for engineering teams, establish architectural standards, and mentor engineers.
- Perform hands-on solutioning, architectural spikes, Proof-of-Concepts (POCs), and performance tuning.
- Partner with cross-functional teams to drive solution adoption, operational scalability, and platform maintainability.
Requirements
- 15+ years of progressive experience in Software Engineering, Data Engineering, and Enterprise Data Platform architecture.
- 5+ years architecting, migrating, and deploying production data platforms across GCP and/or Azure, with proven multi-cloud integration patterns.
- Demonstrated track record leading on-premises/cloud to cloud modernization/migration initiatives.
- Experience designing or integrating autonomous, agent-driven, or LLM-augmented data workflows.
- Proven hands-on experience designing and deploying Lakehouse platforms incorporating Medallion Architecture and Data Mesh principles.
- Deep knowledge of multi-cloud data governance, access management, and cataloging.
- Strong leadership capability in technical backlog management, agile scoping, and setting technical strategy.
- Exceptional stakeholder communication skills, capable of articulating architectural trade-offs to executives and engineers.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.