Enterprise Data Solution Architect

NTT America • Plano, TX

69d

About The Position

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

• 10+ years of designing enterprise data platforms
• 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
• Experience with productizing GenAI/RAG or MLOps pipelines
• Industry expertise in manufacturing, healthcare, or financial services

Responsibilities

• Design and implement data platforms for enterprise clients
• Develop and execute modernization roadmaps for legacy data systems
• Collaborate with stakeholders to define data-product strategy and architecture
• Establish scalable ETL/ELT patterns and data pipelines
• Lead the development of data governance, security, and FinOps guardrails
• Experience with productizing GenAI/RAG or MLOps pipelines
• Industry expertise in manufacturing, healthcare, or financial services

What This Job Offers

• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Number of Employees: 5,001-10,000 employees