Data Architect (Lake Mary, FL, ExamRoom.AI Corp): The Data Architect will be responsible for designing, implementing, and maintaining data architecture and solutions to meet the organization’s data management and analytics needs. The beneficiary will collaborate with cross-functional teams to define data requirements, develop data models, and ensure the integrity and security of data assets. Specific duties include: Defining and documenting the organization’s data architecture vision, strategy, and principles; Developing conceptual, logical, and physical data models to support data integration, storage, and retrieval; Collaborating with business stakeholders and technical teams to understand data requirements and translate them into robust data architecture solutions; Designing data flows, data pipelines, and data transformation processes to enable efficient data movement and processing; Developing and maintaining data models that represent the organization’s data assets and support business requirements; Designing and optimizing relational and non-relational database schemas for performance, scalability, and data integrity; Defining data standards and naming conventions to ensure consistency and uniformity across databases; Collaborating with database administrators and developers to implement and maintain databases and data structures; Establishing data governance policies, processes, and frameworks to ensure data quality, privacy, and compliance; Defining data classification, access controls, and data retention policies in collaboration with security and compliance teams; Implementing data protection measures, such as encryption, data masking, and anonymization techniques; Monitoring data usage and access patterns, identifying and mitigating data security risks; Designing and implementing data integration strategies and solutions to facilitate seamless data flow across systems; Developing Extract, Transform, Load (ETL) processes and workflows to extract data from various sources, transforming it to meet business requirements, and loading it into target systems; Identifying and implementing data integration patterns, including real-time and batch processing, data synchronization, and data replication; Ensuring data quality and consistency throughout the integration process; Collaborating with business intelligence and analytics teams to define data requirements for reporting, dashboards, and data visualization; Designing data marts, data warehouses, and data lakes to support analytics and reporting needs; Developing data models and structures optimized for analytical processing and query performance; Implementing data aggregation, summarization, and transformation techniques to enable efficient analytics; Collaborating closely with cross-functional teams, including business stakeholders, data scientists, developers, and infrastructure teams, to ensure alignment of data architecture with business goals; Communicating complex data concepts and solutions to non-technical stakeholders in a clear and concise manner; Participating in project planning, requirements gathering, and technical discussions; Providing guidance and mentorship to junior data team members; and Delivering bi-weekly and monthly reports on project progress and team updates to the reporting manager. 

Minimum requirements: Bachelor’s degree in Computer Science, Computer Engineering, Electronics Engineering, or a related field plus 7 years of experience in data architecture or related role.  

Must have: Demonstrated experience designing and implementing data architecture solutions, including data models, database design, and data integration strategies. Demonstrated knowledge of NoSQL databases, data lakes, and data warehouses. Proven ability in SQL and database management systems: Oracle, MySQL, and PostgreSQL. Demonstrated experience with data warehousing solutions: Amazon Redshift and Snowflake. Demonstrated knowledge of data modeling tools: Erwin and PowerDesigner. Demonstrated knowledge of big data technologies: Hadoop and Spark. Proven ability with programming languages: Python, Java, and Scala. Demonstrated knowledge of ETL processes and tools: Informatica and Talend. Demonstrated experience with cloud platforms and services including AWS. Demonstrated knowledge of data governance and data security best practices. Proficiency in advanced mathematics, including linear algebra, statistics, and probability theory. Proven ability to develop and optimize complex algorithms. Demonstrated ability in data modeling, data mining, and quantitative analysis. Demonstrated knowledge of mathematical methods for data analysis and pattern recognition. Demonstrated experience with statistical software and tools: R, MATLAB, and SAS. Proven ability to translate mathematical concepts into practical applications for data architecture and analysis. Excellent written and verbal communication skills as well as problem solving skills. 

Apply online at https://examroom.ai/career/ or send resume to recuitment-us@examroom.ai . Ref: 00072433. An EOE.