Remote Big Data Architect & Analytics Lead

GoIntellects Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

GoIntellects Inc. is seeking a senior Big Data Architect IT Consultant Master for a remote role based in Washington, DC.

The candidate will coordinate IT project management, engineering, maintenance, QA, and risk management, and develop technical applications supporting users. The ideal candidate has 4+ years leading large projects and 5+ years of experience with cloud storage on Azure, data tools, and big data architectures.

Qualifications

• Bachelor’s degree in IT or related field or equivalent experience.
• 5 years experience with cloud storage on Microsoft Azure.
• 5 years deploying data tools and cloud storage.
• 5 years with Tableau, MicroStrategy, or ArcGIS.
• 5 years SQL and NoSQL databases.

Responsibilities

• Coordinate IT project management, engineering, QA, and risk management.
• Plan, coordinate, and monitor project activities.
• Develop technical applications to support users.
• Develop, implement, maintain standards and procedures for the design, development, installation, modification, and documentation of assigned systems.
• Provide training for system products and procedures.
• Perform application upgrades.
• Monitor real-time databases, real-time networks and communications, and real-time graphics and logic applications.
• Troubleshoot problems.
• Ensure project life-cycle compliance with District standards and procedures.

Skills

Project management

Big Data architecture

Cloud platforms

Real-time data

SQL/NoSQL

Leadership

Stakeholder coordination

Education

Bachelor’s degree in IT

Equivalent experience

Tools

Tableau

MicroStrategy

ArcGIS

Databricks

Data Lakes

Job description

GoIntellects Inc. is seeking a senior Big Data Architect IT Consultant Master for a remote role based in Washington, DC.

The candidate will coordinate IT project management, engineering, maintenance, QA, and risk management, and develop technical applications supporting users. The ideal candidate has 4+ years leading large projects and 5+ years of experience with cloud storage on Azure, data tools, and big data architectures.