DBiz.ai - Data Cloud Solution Architect

Description :About the Company :Dbiz is a high-performing product and engineering company that partners with organizations to build out digital solutions using the right technology at the right time.We pride ourselves on our innovative use of technology in various ways.Role Summary :Join our innovative team at Dbiz.AI, where we leverage cutting-edge technology to drive our business forward.We are seeking a talented and experienced Solution Architect with strong expertise in microservices architecture and AWS cloud technologies.Knowledge of Azure is also a plus.This role is ideal for someone passionate about big data, analytics, and AI, with a deep understanding of cloud-based solutions.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, Athena, and other AWS data technologies 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, Lambda, and other AWS services 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, including IAM, encryption, and data masking to protect sensitive information.Performance Optimization :- Optimize the performance of data architectures and solutions, ensuring cost-effective data storage, retrieval, and processing while maintaining scalability.Collaboration and Stakeholder Engagement :- Work closely with cross-functional teams, including product development, data engineering, and business stakeholders, to align data architecture with business goals and objectives.Emerging Technologies :- Stay up-to-date with advancements in cloud technologies, data management, and data architecture.- Drive the adoption of new tools, frameworks, and methodologies to improve the data landscape.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 (AWS Glue, Lambda, etc.- 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.Keywords : Microservices Architecture, Python, AWS Data Technologies, Application Architecture Design, Azure (optional) (ref:hirist.tech)