Enterprise Data Solution Architect

NTT DATAPlano, TX
35d

About The Position

Drive the design and delivery of modern, cloud‑native data platforms that turn raw data into governed, reusable products. Blend deep technical expertise with product‑centric thinking to accelerate business value, reduce TCO, and future‑proof analytics capabilities.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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