Big Data Architect IT Consultant Master

Jobgether; Oregon; Hybrid; USD 103,000 - 110,000; Full time

Benefits offered by this job

Hourly compensation $75–$80

Fully remote within the United States

Full-time consulting

Enterprise data modernization project

Job summary

Our partner seeks a senior Big Data Architect to design, develop, and maintain an enterprise data platform as part of a major modernization initiative. The role is fully remote in the United States and focuses on scalable data warehousing, analytics, data science, and Smart City initiatives using Databricks, Azure, Data Lake, Synapse, and related tools.

You will lead technical efforts, ensure adherence to standards and security, coordinate with a senior data team, and guide data integration

Qualifications

• Bachelor's degree in Information Technology or equivalent professional experience.
• At least 5 years of experience implementing modern Big Data storage and analytics platforms (e.g., Databricks, Data Lake).
• At least 5 years of knowledge in modern Big Data architecture and best practices.
• At least 5 years designing cloud networking, security, and storage solutions on Microsoft Azure.
• At least 5 years of experience managing data platform operations (runtime, warehousing, pipelines, auditing, data sharing, cost management).
• At least 5 years deploying data tools on cloud platforms such as Microsoft Azure.
• At least 5 years of experience with SQL and NoSQL data sources.
• At least 3 years of experience with APIs and web services (REST/SOAP).
• Databricks Certified Data Engineer Professional certification is highly desirable.

Responsibilities

• Design and support the development of an enterprise Big Data and Data Lake architecture.
• Coordinate IT project management, engineering, maintenance, QA, and risk management activities.
• Plan, organize, monitor project activities and ensure delivery against objectives.
• Develop and implement data solutions that support end users and operations.
• Establish standards and procedures for system design, development, and documentation.
• Oversee deployment and operation of data platform components and runtimes.

Skills

Project coordination

Analytical skills

Troubleshooting

Stakeholder management

Team collaboration

Problem solving

Education

Bachelor's degree in Information Technology

Tools

Databricks

Azure

Tableau

MicroStrategy

ArcGIS

Kibana

Oracle

APIs (REST/SOAP)

Notebooks

R

Job description

Our partner is looking for a Big Data Architect IT Consultant Master based in the United States. We are seeking a senior Big Data Architect to support the design, development, implementation, and maintenance of an enterprise-wide data platform as part of a major data modernization initiative. In this fully remote consulting role, you will help shape a scalable architecture that supports data warehousing, analytics, data science, and Smart City initiatives. You will work with modern technologies, including Databricks, Microsoft Azure, Data Lake, Synapse, and enterprise data integration tools. The platform will connect diverse systems and enable secure, reliable access to structured and unstructured data across multiple business functions. Working alongside a collaborative senior data team, you will provide technical leadership while ensuring solutions meet established standards, security requirements, and operational needs.

Accountabilities

• 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

• 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.