
Data Platform Strategist
4 days ago
The role of Chief Data Solutions Architect is pivotal in leading the design, development, and optimization of our enterprise data platform.
This position requires expertise in leading cross-functional teams to deliver robust data solutions that drive business outcomes.
- Develop and implement scalable, secure, and high-performance data platforms using modern technologies such as event-driven and batch data-based ingestion and pipelines, data visualization & reporting, data governance, and collaboration with data architects, analysts, and engineers.
- Lead the adoption of automation tools like Terraform, CloudFormation, and CI/CD pipelines to streamline development processes.
- Ensure data quality, governance, and compliance across all data systems through effective monitoring and incident response strategies.
- Mentor junior engineers and foster a culture of technical excellence within the team.
- Evaluate emerging technologies to enhance platform capabilities and lead the integration process.
Requirements:
- Bachelor's degree in computer engineering, computer science, information systems, or a related field.
- 10+ years of experience in a data engineering-related role for senior-level candidates.
- Excellent English communication skills, both written and verbal.
- Proficiency in modern data platform engineering, including hands-on experience with end-to-end data platform design and implementation.
- Experience with automation, GitHub, PR process, CI/CD pipeline, and code/release management.
- Proficiency in public and private cloud, AWS, Kubernetes, Docker.
- Expertise in streaming technologies, ETL/ELT data pipelines, database technologies, data lake storage, data analytics, and reporting.
Qualifications:
Applicants must possess a strong understanding of data engineering concepts and be able to work collaboratively with cross-functional teams. Experience with cloud-based technologies and automation tools is highly desirable.
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