Quantix, Inc. · 2 months ago
Senior to Expert-level DataOps Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$180K/yr - $220K/yr
8+ years expQuantix, Inc. is seeking a visionary and very senior-level Staff DataOps Engineer to lead the transformation and drive the adoption of next-generation microservices architectures. The role focuses on implementing DataOps practices to ensure data reliability and efficiency while tackling complex challenges through automation and intelligent systems.
ConsultingInformation TechnologyStaffing Agency
Responsibilities
Lead this transformation, pioneering DataOps excellence at a global scale
Drive the adoption of next-generation microservices architectures
Implement and evolve leading DataOps practices to ensure the highest levels of data reliability and efficiency
Create self-service products that democratize infrastructure
Enable rapid deployment, scalability, and reliability through sophisticated automation, Continuous Integration and Continuous Delivery, and Data Quality practices
Navigate ambiguity and deliver transformative solutions through automated workflows and intelligent systems
Lead the team and architecture of multiple projects at once from a strategic standpoint
Qualification
Required
8+ years of progressive experience in DataOps engineering, with a proven track record of implementing and optimizing data pipelines and automation frameworks
Deep expertise in data warehousing, data lakes, and distributed data processing technologies (e.g., Spark, Hadoop, Kafka)
Exceptional proficiency in programming languages (e.g., SQL, Python, Java, Scala)
Expert-level understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
Deep understanding and experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation)
Proven ability to architect and implement highly scalable and resilient data solutions
Advanced understanding of data orchestration, monitoring, and observability tools
Proven ability to create and implement data automation frameworks
Experience with real time data platforms at extreme scale
Strong understanding and experience with CI/CD methodologies and tools for data pipelines, including automated testing and deployment
Experience with data quality tools, and monitoring systems
Experience with DataOps related tooling
Preferred
Prefers native GCP Stack as they are not changing their technologies. Others might be considered (AWS and Azure)
Company
Quantix, Inc.
*We at Quantix prioritize your privacy.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2025-05-08Acquired
Leadership Team
Michael Haase
Co-Owner | CEO
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