Principal Data Architect - Multi-Cloud (GCP & Azure)
Hyderabad · 5+ years experience · Full-time · Hybrid · Posted Oct 19, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Hyderabad
About the role
- Egen is seeking a Principal Data Architect - Multi-Cloud (GCP & Azure) in Hyderabad to lead end-to-end data architecture and implementation.
- The role involves designing scalable Data Lakehouse solutions, architecting migration pipelines, and providing client advisory and technical leadership.
Responsibilities
- Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions across Google Cloud Platform and Microsoft Azure.
- Architect and deploy automated, scalable, agent-driven data pipelines to orchestrate, validate, and accelerate complex migrations from on-premises legacy warehouses/databases.
- Collaborate directly with customers to understand business goals, data challenges, and technical requirements, translating them into robust architectural blueprints.
- Own and actively manage the customer technical backlog by translating business epics into technical user stories, prioritizing technical debt, and defining sprint milestones.
- Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming/messaging frameworks.
- Establish and enforce best practices for unified data cataloging, metadata management, automated lineage, and data quality across multi-cloud and on-prem systems.
- Define and implement robust data security, identity management, encryption, row/column-level access control, and regulatory compliance standards across clouds.
- Steer the overarching technical direction of engineering teams, establish architectural standards, mentor engineers, and conduct architecture reviews.
- Balance strategic architecture discussions with hands-on solutioning, architectural spikes, Proof-of-Concepts, and performance tuning of complex distributed workloads.
- Partner with enterprise architects, delivery leads, DevOps engineers, and customer stakeholders to drive solution adoption and operational scalability.
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 / Data Product principles.
- Deep knowledge of multi-cloud data governance, access management, and cataloging.
- Strong leadership capability in technical backlog management, agile scoping, sprint planning, and setting technical strategy for distributed teams.
- Exceptional stakeholder communication skills to articulate architectural trade-offs to C-level executives as smoothly as reviewing code with engineers.
- Multi-cloud certifications: Google Cloud Professional Data Engineer / Cloud Architect and/or Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect Expert.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
Skills
- Google Cloud Platform
- Microsoft Azure
- BigQuery
- GCS
- BigLake
- Dataplex
- Azure Synapse Analytics
- Microsoft Fabric
- ADLS Gen2
- Azure Databricks
- Apache Spark
- PySpark
Show all 15 skills
- Apache Kafka
- Apache Airflow
- Terraform
