Big Data Architect IT Consultant Master

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

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.