Cloud Data Platform Architect

Cloud Data Platform Strategist About the Role

We are seeking a highly skilled Cloud Data Platform Strategist to drive the design and delivery of modern, cloud-native data platforms that turn raw data into governed, reusable products. Key Responsibilities:

• Architect end-to-end data solutions on Azure, AWS, or Google Cloud (ingestion → storage → modeling → consumption).
• Define data-product strategy, domain boundaries, and semantic models that enable self-service analytics.
• Establish scalable ETL/ELT patterns using tools like Databricks, Snowflake, Synapse, Glue, or BigQuery.
• Lead modernization roadmaps-migrating legacy warehouses, integrating real-time pipelines, and automating CI/CD & IaC.
• Partner with stakeholders to translate business use-cases into secure, cost-optimized architectures and reference designs. Requirements: Minimum Skills Required:
• 10 years designing enterprise data platforms and at least 2 major cloud migrations delivered.
• 7 years of experience in modern data stacks (lakehouse, medallion/Data Mesh, CDC, event streaming).
• 7 years of experience with SQL/Python/PySpark and orchestration frameworks (Airflow, Data Factory, Cloud Composer).
• 3 years of experience creating data governance, security, and FinOps guardrails. Preferred Skills:
• Experience productizing GenAI/RAG or MLOps pipelines.
• Industry expertise in manufacturing, healthcare, or financial services.
• Excellent communication-can influence C-suite and mentor engineers alike.