Senior Data Engineer

Senior Data Engineer to design and operate scalable enterprise data solutions in a Microsoft Fabric and Azure environment on-site in Plano, TX
.

• Design, develop, test, deploy, troubleshoot, and optimize enterprise data pipelines and data solutions using Microsoft Fabric
  , Azure
  , SQL
  , Python
  , Spark
  , and related technologies
• Build scalable ingestion, transformation, and data processing frameworks for batch and near-real-time workloads across multiple enterprise data sources
• Develop and maintain Bronze, Silver, and Gold data layers and implement enterprise modeling patterns, including Data Vault 2.0 and dimensional or curated models where appropriate
• Create and maintain dbt models
  , reusable transformation frameworks, documentation,
  automated tests
  , and engineering standards
• Partner with technical leadership to implement enterprise data architecture patterns, reusable frameworks, platform guardrails, and engineering standards
• Implement CI/CD
  , source control, automated testing, deployment pipelines, and Dev Ops practices for data engineering solutions
• Build data quality controls, reconciliation processes, monitoring, alerting, lineage, and observability to proactively detect and resolve data issues
• Support production operations by troubleshooting pipeline failures, performance issues, data defects, and critical incidents; perform root-cause analysis and implement permanent fixes
• Optimize data pipelines, SQL queries, Spark workloads, storage, and compute utilization for performance, scalability, reliability, and cost efficiency
• Implement security, access controls, data protection, and governance requirements in partnership with architecture, governance, and security teams
• Collaborate with BI, analytics, and business teams to deliver trusted, analytics-ready data products and support Power BI semantic models and reporting solutions
• Support migration and modernization of legacy ETL and enterprise data warehouse workloads to Microsoft Fabric
  , ensuring reconciliation, business continuity, and production readiness
• Maintain technical documentation including solution designs, data mappings, operational runbooks, support procedures, and production-readiness artifacts
• Apply AI-assisted engineering capabilities to improve developer productivity, accelerate SQL/Python development, support code quality, automate documentation and testing, and strengthen troubleshooting and root-cause analysis
• Enable AI-ready data products by ensuring data is trusted, well-modeled, governed, documented, and accessible for AI
  , machine learning, natural-language querying, and advanced analytics use cases

• Bachelor’s degree in computer science, Engineering, Math or related field is required
• Master’s degree preferred
• 5+ years of experience in data engineering, data warehousing, ETL/ELT, or enterprise analytics platforms, with experience delivering production-grade data solutions
• Strong hands-on SQL skills, plus experience with Python and/or Py Spark for data engineering workloads
• Experience with Microsoft Fabric and Azure data platforms such as Azure Data Factory
  , Azure Data Lake Storage
  , Synapse
  , Databricks
  , or comparable modern cloud platforms
• Strong understanding of data modeling and enterprise architecture concepts, including dimensional modeling and data lake/lakehouse patterns
• Experience implementing data quality
  , monitoring
  , observability
  , automated testing, and production support practices
• Experience with Git
  , CI/CD
  , and Dev Ops and automated deployment practices
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills
• Experience with or knowledge of Agile software development methodologies
• Strong aptitude for learning new technologies and analytics techniques
• Communication…