Azure Data Architect
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Job Description
Azure Data Architect developing predictive models and Azure data solutions for Sparibis's HR and defense projects. Leading data science strategy, governance, visualization, and team mentorship.
Responsibilities:
- Develop and implement a data science strategy aligned with project goals and objectives
- Work with stakeholders to identify opportunities to leverage data for HR processes, including recruitment, retention, training, and performance management
- Lead exploration and analysis of large datasets to identify trends, patterns, insights, data quality issues, gaps, and enhancements
- Design, develop, and validate predictive models using machine learning algorithms and statistical techniques
- Deploy and maintain machine learning models in production, ensuring scalability and reliability
- Create data visualizations using tools such as Power BI to communicate insights to stakeholders
- Lead and mentor a team of data scientists
- Collaborate with software developers, system architects, and business analysts to integrate data science solutions
- Implement data validation and cleansing processes to ensure data quality and accuracy
- Ensure data science activities comply with relevant DoD regulations and security policies
- Research advances in data science and machine learning and explore technologies and techniques to improve HR processes
- Create and maintain detailed documentation of data science processes, models, and results
Requirements:
- 10+ years of professional experience; 10+ years in data science, machine learning, and statistical modeling
- Bachelor's degree in computer science, data science, statistics, mathematics, or a related quantitative field
- Must be able to obtain and maintain a Secret security clearance
- United States citizenship required for security-clearance eligibility
- Active CompTIA Security+ certification
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques
- Strong expertise in the Azure Cloud environment
- Experience with Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, and AI Foundry
- Proficiency in Python, R, SQL, and PySpark
- Strong proficiency in Python or a similar language and SQL for data preparation, analysis, and modeling
- Experience with data visualization tools such as 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
- Strong understanding of database technologies and SQL
- Experience with Microsoft Power Platform, including Power BI and Power Automate, is a plus
- Excellent communication, presentation, and leadership skills
Benefits:
- Equal opportunity employer that values diversity at all levels
- Remote work arrangement
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