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Lead Data Architect

Precision Technologies

 

Texas, United States

Posted On: 15+ days ago
Experience: 13+ years
Availability: Remote
Openings: 1
Category: Lead Data Architect
Tenure: Full-time Only
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Description

eligible

Required Technical Skills

  • 13+ years of full-time professional experience in Data Architecture / Data Engineering
  • Strong expertise in Data Architecture, Data Modeling & Enterprise Data Strategy
  • Data Warehouse, Data Lake & Lakehouse Architecture
  • Dimensional Modeling, Star/Snowflake Schema & Data Vault
  • Strong SQL and database architecture experience
  • Snowflake, Databricks, Azure Synapse, SQL Server, Oracle or similar platforms
  • Strong cloud experience with Azure / AWS / GCP
  • Azure Data Factory, Databricks, ADLS, Microsoft Fabric or equivalent
  • ETL/ELT, Data Integration & Data Pipelines
  • Python / PySpark and distributed data processing
  • Real-time / streaming data using Kafka or similar technologies
  • Data Governance, Data Quality, Data Security, Metadata & Data Lineage
  • Master Data Management (MDM) and Data Catalog concepts
  • Experience designing APIs, data integration patterns and enterprise data platforms
  • BI & Analytics platforms such as Power BI / Tableau
  • Cloud data migration and modernization
  • Experience with CI/CD, Git, DevOps and Infrastructure as Code
  • Strong understanding of data security, privacy, compliance and access controls
  • Experience with data architecture standards, technology evaluation and roadmap development

Leadership / Responsibilities

  • Define and lead enterprise data architecture and technical strategy
  • Design scalable, secure and high-performance data platforms and solutions
  • Develop conceptual, logical and physical data models
  • Establish data architecture standards, principles and best practices
  • Lead cloud data modernization, migration and integration initiatives
  • Work closely with Data Engineers, Data Scientists, Developers, Business Analysts, Product Owners and Enterprise Architects
  • Evaluate technologies and recommend appropriate data platforms and architecture patterns
  • Identify performance, scalability, security and cost-optimization opportunities
  • Mentor Data Engineers and provide technical leadership
  • Ensure solutions align with business objectives, governance and enterprise architecture standards

Education

Bachelor’s degree

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