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Sparibis

Azure Data Architect

Full Time · In Office · USA

Posted Aug 21, 2026

Work Options
Cloud Stack
Job Type
Position Group
  • Location: 100% Remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment.
  • Years’ Experience: 10+ Years of professional experience.
  • Education: Bachelor’s degree in computer science, Data Science, Statistics, or related field.
  • Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
  • Certifications:
  • Active CompTIA Security+ Certification
  • Key Skills:
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Must have strong expertise in the Azure Cloud environment
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling

Responsibilities

  • Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC’s strategic goals and objectives.
  • Problem Identification: Work with USMC stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
  • Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
  • Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
  • Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
  • Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
  • Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
  • Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
  • Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
  • Compliance: Ensure that all data science activities comply with relevant USMC and DoD regulations and security policies.
  • Research & Development: Stay up to date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
  • Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Qualifications

  • 10+ years of experience in data science, machine learning, and statistical modeling.
  • Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
  • Active Secret security clearance
  • Active CompTIA Security+ certification
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Proficiency in programming languages such as Python, R, SQL, PySpark
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Experience with data visualization tools (e.g., Power BI).
  • Hands on experience with Microsoft Dataverse for data storage and management.
  • Strong experience with data extraction, cleaning, and transformation (ETL) processes.
  • Experience in data governance, metadata management, and data cataloging.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Strong understanding of database technologies and SQL.
  • Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
  • Excellent communication, presentation, and leadership skills.

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Azure Data Architect

Sparibis

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