
Enterprise Data Solution Architect
- Plano, TX
- Permanent
- Full-time
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.Core 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.
- 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.
- 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.