Big Data Architect IT Consultant Master

Accountabilities

You will lead and coordinate technical activities throughout the data platform lifecycle, ensuring the architecture is reliable, scalable, secure, and aligned with enterprise requirements.

• Design and support the development of an enterprise Big Data and Data Lake architecture using Databricks, Microsoft Azure, Azure Data Lake, Synapse, and related technologies.

• Coordinate IT project management, engineering, maintenance, quality assurance, and risk management activities.

• Plan, organize, coordinate, and monitor project activities, ensuring delivery against established objectives and standards.

• Develop and implement technical applications and data solutions that support end users and enterprise operations.

• Establish, document, maintain, and enforce standards and procedures for system design, development, installation, modification, and documentation.

• Oversee the deployment and operation of data platform components, including runtime environments, data warehouses, pipelines, auditing, data sharing, cost management, and user administration.

• Support data integration with enterprise tools and systems, including Esri, Tableau, MicroStrategy, API gateways, and Oracle databases.

• Develop and maintain data pipelines and ETL processes for structured and unstructured data sources.

• Monitor, maintain, and report on real-time databases, network and serial data communications, and real-time graphics and logic applications.

• Troubleshoot technical and operational issues and coordinate appropriate resolution.

• Perform application upgrades and maintain platform reliability and performance.

• Provide training and guidance on system products, processes, and technical procedures.

• Ensure all project activities and deliverables comply with applicable organizational standards and procedures.

Requirements

The ideal candidate brings extensive experience in enterprise data architecture, cloud platforms, and large-scale IT project delivery, supported by strong technical knowledge and the ability to coordinate complex initiatives.

• Bachelor's degree in Information Technology or a related field, or equivalent professional experience.

• At least 5 years of experience implementing modern Big Data storage and analytics platforms, such as Databricks and Data Lakes.

• At least 5 years of knowledge and practical experience in modern Big Data architecture, implementation principles, and best practices.

• At least 5 years of experience designing and implementing cloud networking, security, and storage solutions, particularly on Microsoft Azure.

• At least 5 years of experience managing data platform operations, including runtime environments, warehousing, pipelines, auditing, data sharing, cost management, and user administration.

• At least 5 years of experience deploying data tools and storage solutions on cloud platforms such as Microsoft Azure.

• At least 5 years of experience with data-centric analysis and visualization systems, including Tableau, MicroStrategy, ArcGIS, Kibana, and Oracle.

• At least 5 years of experience querying structured and unstructured data sources using SQL and NoSQL databases.

• At least 5 years of experience modeling, ingesting, and transferring data across systems through data pipelines.

• At least 3 years of experience with APIs and web services, including REST and SOAP.

• At least 3 years of experience with complex event processing and real-time data streaming.

• At least 3 years of experience deploying and managing data science tools and modules, including Notebooks and R.

• At least 3 years of experience in ETL, data processing, and analytics using programming languages such as Python, Java, or R.

• At least 16 years of experience planning, coordinating, and monitoring project activities.

• At least 16 years of experience leading projects and ensuring compliance with established standards and procedures.

• Databricks Certified Data Engineer Professional certification is highly desirable.

• Experience deploying applications, gateways, agents, and models on data platforms such as Databricks is an advantage (2+ years preferred).

• Strong project coordination, analytical, troubleshooting, and problem-solving skills.

• Ability to work effectively with technical teams and stakeholders while managing complex enterprise initiatives.

Benefits

• Hourly compensation ranging from $75 to $80.

• Fully remote work arrangement within the United States.

• Full-time consulting opportunity.

• Opportunity to contribute to a large-scale enterprise data modernization initiative.

• Exposure to modern Big Data, cloud, analytics, and data science technologies.

• Collaboration with an experienced senior data team.