Data Architect

Data Modeling

Proficient in designing and implementing logical and physical data models to support the organization's data architecture and business requirements.

Cloud Platforms

Familiarity with Amazon Web Services (AWS) and understanding how to leverage their data storage and processing capabilities.

Data Integration

Ability to design and implement data integration solutions, including extract, transform, and load (ETL) processes, data pipelines, and real-time data streaming.

Data Governance

Understanding of data governance principles, including data quality, data privacy, and compliance, and ensuring that data policies and standards are applied consistently across the organization.

Data Security

Familiarity with data security best practices, including encryption, access controls, and data masking, to protect sensitive data in the cloud environment.

Data Visualization

Proficiency in data visualization tools and techniques to create meaningful and interactive dashboards and reports for data analysis and decision-making.

AI & ML

Knowledge of AI and machine learning algorithms and techniques to develop predictive models and support advanced analytics initiatives.

Big Data Technology

Knowledge of big data frameworks and technologies like Hadoop, Spark, and NoSQL databases to process and analyze large volumes of data in a distributed environment.

Nice to have

Programming

Proficiency in programming languages such as Python, SQL, or R to perform data manipulation and analysis tasks.

Communication and Collaboration

Strong communication and collaboration skills to work effectively with business stakeholders, data analysts, and other IT teams to understand requirements and deliver data solutions