Azure Data Architect

🕒 August 13

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 27%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 90 days.
• Jobs at this company usually fill in 46 days.
• No salary listed.

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Sparibis

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

🔒 Cybersecurity

🏢 Enterprise

Consulting • Cybersecurity • Enterprise

Sparibis is an Orlando-based IT engineering and consulting firm. It provides program management and project controls support along with SDLC leadership and systems engineering. Its listed capabilities include cyber security engineering, cloud and DevSecOps engineering, mobility/software engineering, CRM and enterprise portals, test and operations engineering, and data management.

📋 Description

• 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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