Chief Data Infrastructure Architect
2 weeks ago
About Dbiz:
We're a high-performing product and engineering company that partners with organizations to build out digital solutions using the right technology at the right time. Our innovative approach sets us apart.
Job Summary:
We seek a seasoned Solution Architect with a strong background in microservices architecture and AWS cloud technologies. The ideal candidate will design and implement scalable, secure, and efficient data architectures for enterprise solutions, focusing on big data, analytics, and AI initiatives.
Key Responsibilities:
- Design and implement data architectures for enterprise solutions using AWS, developing strategies to support business intelligence, advanced analytics, and AI initiatives.
- Lead the development of AWS-based data ecosystems, leveraging services like AWS Data Lakehouse, S3, Redshift, Athena, and other AWS data technologies for data storage, processing, and analysis.
- Design and implement microservices-based architectures for data integration and distributed data processing, ensuring efficient communication and scalability.
- Develop data models (relational and non-relational) to ensure scalability and performance, integrating data from diverse sources, including databases, APIs, and real-time streaming.
- Achieve end-to-end ETL and data pipeline architecture using tools like AWS Glue and Lambda for data ingestion, transformation, and curation.
- Implement data governance policies to ensure compliance with industry standards for data security, privacy, and integrity, utilizing AWS security services such as IAM, encryption, and data masking.
- Optimize the performance of data architectures and solutions, ensuring cost-effective data storage, retrieval, and processing while maintaining scalability.
- Collaborate closely with cross-functional teams, including product development, data engineering, and business stakeholders, to align data architecture with business goals and objectives.
- Stay current with advancements in cloud technologies, data management, and data architecture, driving the adoption of new tools, frameworks, and methodologies to enhance the data landscape.
- Provide technical guidance and mentorship to data engineers and developers, leading architectural discussions, reviews, and decision-making processes.
Requirements:
- Minimum 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.
- Excellent communication skills and ability to collaborate with diverse teams.
- Experience in leading architectural decisions and mentoring technical teams.
- Strong data modeling skills, covering both relational and NoSQL databases.
- Solid understanding of data governance, security, and compliance requirements.
- Proven experience optimizing data architectures for performance and cost efficiency.
Estimated Salary: $120,000 - $180,000 per year
Benefits:
- Competitive salary.
- Dynamic work environment.
- Opportunities for personal growth and development.
- Engaging and collaborative company culture.
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