Big Data Architect IT Consultant Master

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.

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.