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USM Jobs / Data Tech Lead – Data Architecture & Engineering
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JB061858 - Data Tech Lead – Data Archit Apply

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Data Tech Lead – Data Architecture & Engineering
? Houston, TX 77002 (Hybrid – Shell)
? Long-Term Contract
We are seeking an experienced Data Tech Lead with 12+ years of experience leading enterprise-scale data architecture, engineering, and cloud transformation initiatives. This role will provide end-to-end leadership across data strategy, architecture, governance, and delivery while driving the development of modern Azure-based data platforms.
Key Responsibilities
  • Lead architecture, design, and implementation of enterprise data solutions across Azure and Databricks.
  • Define data product roadmaps and drive scalable, future-ready data platform initiatives.
  • Design and optimize data pipelines using ADF, ADLS, Databricks, Delta Live Tables (DLT), and Structured Streaming.
  • Lead data modeling, metadata management, governance, security, lineage, and performance optimization efforts.
  • Drive CI/CD implementation, automation, and operational excellence.
  • Partner with business stakeholders, architects, data scientists, and leadership teams to deliver strategic data solutions.
  • Provide technical leadership, mentoring, and governance across development teams.
Required Skills
  • 12–17 years of experience in Data Engineering, Data Architecture, or Analytics Platforms.
  • Strong expertise in Azure Data Factory (ADF), ADLS, Databricks, DLT, Azure Functions, Logic Apps, SQL, REST APIs, Python, Spark, and Scala.
  • Experience with Unity Catalog, data governance, metadata management, and lineage.
  • Strong data modeling experience using tools such as SAP PowerDesigner or BiZ Design.
  • Experience with CI/CD, Azure DevOps, GitHub Actions, Docker, and Kubernetes.
  • Expertise in SQL performance tuning, OLTP schema design, indexing, and database optimization.
  • Strong stakeholder management, executive communication, and leadership skills.
Nice to Have
  • Experience with Kafka, Hadoop, Spark Streaming, Airflow, Azkaban, or Luigi.
  • Knowledge of Power BI or QlikSense.
  • Azure, Databricks, AI/ML, or Data Engineering certifications.
  • Experience within Trading & Supply, Freight, Shipping, or Commodity Trading environments.
  • Knowledge of RightAngle, Endur, or Veson IMOS.