Azure Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and execute a data science strategy that aligns with the goals and objectives of projects.

• Collaborate with stakeholders to pinpoint opportunities for utilizing data in HR processes, including recruitment, retention, training, and performance management.

• Lead the exploration and analysis of extensive datasets to uncover trends, patterns, insights, data quality issues, gaps, and enhancements.

• Design, develop, and validate predictive models utilizing machine learning algorithms and statistical techniques.

• Deploy and uphold machine learning models in production while ensuring their scalability and reliability.

• Create data visualizations with tools such as Power BI to effectively communicate insights to stakeholders.

• Guide 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 maintain data quality and accuracy.

• Ensure compliance of data science activities with applicable DoD regulations and security policies.

• Investigate advancements in data science and machine learning, and assess technologies and techniques to enhance HR processes.

• Create and sustain comprehensive documentation of data science processes, models, and outcomes.

⛳️ Requirements

• Over 10 years of professional experience, with at least 10 years in data science, machine learning, and statistical modeling.

• Bachelor's degree in computer science, data science, statistics, mathematics, or a related quantitative discipline.

• Ability to obtain and maintain a Secret security clearance.

• United States citizenship is required for security clearance eligibility.

• Active CompTIA Security+ certification.

• Proficiency 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.

• Proficient in Python, R, SQL, and PySpark.

• Strong command of Python or a comparable language and SQL for data preparation, analysis, and modeling.

• Familiarity with data visualization tools such as Power BI.

• Practical experience with Microsoft Dataverse for data storage and management.

• Extensive experience with data extraction, cleaning, and transformation (ETL) processes.

• Knowledge 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 abilities.

🏝️ Benefits

• Equal opportunity employer that values diversity at all levels.

• Remote work arrangement.