Senior Data Architect

4 days ago

Dallas, Texas, United States Ranger Technical Resources Full time
Senior Data Engineer

Ranger Technical Resources is seeking a highly skilled Senior Data Engineer to drive data engineering efforts and deliver enterprise-wide solutions. As a key member of our team, you will lead tasks related to data integration, cleaning, transformation, and control in both operational and analytical systems.

Key Responsibilities:

  • Assemble, maintain, and improve large, complex data sets to ensure consistency across systems.
  • Manage and optimize large data sets, including data transformation, data structures, and quality controls to improve information for deployment and business functionality.
  • Collaborate with development teams to understand data requirements and ensure the implementation of a feasible data architecture.
  • Coach junior team members in execution of analytics and automation activities.
  • Build data pipelines that follow release processes and risk management routines to support data-driven decisions.
  • Collaborate with testing engineers to enhance test suites and identify and resolve underlying issues.
  • Lead gap analysis in data management standards, collaborate to develop solutions, and prototype tools to enhance processes.
  • Define key performance indicators and internal controls to be monitored during a CI/CD delivery.
  • Develop automated solutions related to data & analytics, including extracting data, organizing information, and creating user-friendly reports.
  • Coordinate, schedule, scope, and lead large, cross-functional analytics & automation activities.

Requirements:

  • BS in Computer Engineering or Computer Science, Statistics, Informatics, or related experience/field.
  • 5+ years of experience with data management, data management tools, and data quality.
  • Advanced skills in Microsoft Excel.
  • Advanced knowledge with SQL, Python, Tableau, or similar tools.
  • Skilled in implementing automated solutions, including extracting, organizing, and presenting data in user-friendly reports.
  • Familiarity with different test suites, such as integration, regression, or performance.
  • Experience with Model Development, NLP, Text Mining, ML/AI, Data Science, DataRobot, Instabase, and UIPath.

Skills and Strengths:

  • Data Engineering
  • Data Architecture
  • Data Extraction
  • Data Modeling
  • Data Analysis
  • Data Pipelines
  • Data Governance
  • Data Quality Management
  • Microsoft Excel
  • SQL
  • SQL Queries
  • Python or similar (R, JavaScript, Java, others)
  • Data Visualization tools as Tableau, Power BI, Alteryx, others
  • Data automated solutions implementation
  • Statistical Analysis
  • Risk Management
  • Financial Management
  • Solution Delivery Process
  • Concept Testing
  • Project Management
  • Mentorship

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