DATA ARCHITECT @ AMERICAN IT SYSTEMS
American IT Systems is seeking an experienced Data Architect to design, implement, and manage highly scalable data architectures and robust big data solutions. This role is pivotal in ensuring data integrity, security, and compliance across all platforms. The ideal candidate will possess deep expertise in data modelling, cloud platforms, schema design, and optimizing database performance for large-scale enterprise environments. This position requires a hybrid work schedule, demanding three days of onsite presence.
The successful candidate will be responsible for leveraging big data frameworks like Spark, utilizing cloud platforms such as Azure, and managing modern data warehousing tools including Databricks, Snowflake, and Redshift. Key duties involve developing and maintaining sophisticated ETL processes, establishing rigorous data governance best practices, and enforcing stringent security protocols to meet all regulatory compliance requirements.
The successful candidate will be responsible for leveraging big data frameworks like Spark, utilizing cloud platforms such as Azure, and managing modern data warehousing tools including Databricks, Snowflake, and Redshift. Key duties involve developing and maintaining sophisticated ETL processes, establishing rigorous data governance best practices, and enforcing stringent security protocols to meet all regulatory compliance requirements.
Requirements:
- Design, implement, and optimize scalable data architectures, data models, and schema designs.
- Hands-on experience with various database management systems, including RDBMS and NoSQL technologies.
- Expertise in data warehousing tools such as Databricks, Snowflake, and Redshift.
- Utilize big data frameworks (e.g., Apache Spark) and cloud platforms (e.g., Microsoft Azure) for distributed computing.
- Develop and maintain robust Extract, Transform, Load (ETL) processes using cloud-based data services and tools.
- Implement and enforce comprehensive data governance practices, including data lineage and quality management.
- Ensure strict data security standards by implementing encryption protocols and adhering to regulatory compliance standards.
- Proven professional experience in successfully designing and deploying large-scale data systems.
- Strong analytical skills necessary for complex data troubleshooting and performance tuning.
- Ability to work onsite for 3 days per week, supporting a hybrid work model.