Job
Description
As a Solution Architect at Dbiz.AI, you will play a crucial role in designing and implementing scalable, secure, and efficient data architectures for enterprise solutions using AWS. Your expertise in microservices architecture and cloud technologies will be essential in leading the development of AWS-based data ecosystems. You will collaborate with cross-functional teams to align data architecture with business goals, drive the adoption of new tools and methodologies, and provide technical guidance to data engineers and developers. **Key Responsibilities:** - **Data Architecture Design:** - Design and implement scalable, secure, and efficient data architectures for enterprise solutions using AWS. - Develop data management strategies to support business intelligence, advanced analytics, and AI initiatives. - **Cloud Data Solutions:** - Lead the development of AWS-based data ecosystems utilizing services like AWS Data Lakehouse, S3, Redshift, and Athena for data storage, processing, and analysis. - **Microservices Architecture:** - Design and implement microservices-based architectures for data integration and distributed data processing, ensuring efficient communication and scalability. - **Data Modelling and Integration:** - Design and implement data models (both relational and non-relational) to ensure scalability and performance. - Integrate data from diverse sources, including databases, APIs, and real-time streaming. - **ETL and Data Pipeline Architecture:** - Architect end-to-end ETL and data pipelines using tools like AWS Glue and Lambda to facilitate data ingestion, transformation, and curation. - **Data Governance and Security:** - Implement data governance policies to ensure compliance with industry standards for data security, privacy, and integrity. - Leverage AWS security services to protect sensitive information. - **Performance Optimization:** - Optimize the performance of data architectures and solutions to ensure cost-effective data storage, retrieval, and processing while maintaining scalability. - **Collaboration and Stakeholder Engagement:** - Work closely with cross-functional teams to align data architecture with business goals. - **Emerging Technologies:** - Stay up-to-date with advancements in cloud technologies, data management, and data architecture. - **Leadership:** - Provide technical guidance and mentorship to data engineers and developers. - Lead architectural discussions, reviews, and decision-making processes. **Qualifications:** - Minimum of 8 years of experience in data architecture, with a focus on AWS cloud services. - Strong experience in microservices architecture and designing scalable data solutions on AWS. - Expertise with AWS technologies such as S3, Redshift, Athena, AWS Glue, etc. - Strong communication skills and ability to collaborate with diverse teams. - Experience in leading architectural decisions and mentoring technical teams. **Good to Have:** - Experience in designing and implementing ETL pipelines using AWS tools. - Strong data modeling skills, covering both relational and NoSQL databases. - Solid understanding of data governance, data security, and compliance requirements. - Proven experience optimizing data architectures for performance and cost efficiency. - Excellent problem-solving skills and a strategic mindset for building efficient, resilient data solutions. Life at Dbiz includes a competitive salary and attractive benefits, a dynamic and innovative work environment, opportunities for personal growth and development, and an engaging and collaborative company culture.,
