SMASH · 2 weeks ago
Senior Data Operations (DataOps) Engineer P-134
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years expSMASH is a company that focuses on building long-lasting relationships with talent and matching them with US clients. The role involves leading the evolution of DataOps practices, designing automated and scalable data platforms, and enabling rapid deployment and strong data reliability through advanced automation.
ComplianceEmploymentRecruiting
No H1B
U.S. Citizen Only
Responsibilities
Lead the design and implementation of enterprise-scale DataOps platforms and automation frameworks
Architect and evolve GCP-native data platforms supporting high-throughput batch and real-time workloads
Design and implement microservices-based data architectures using containerization technologies
Build and maintain CI/CD pipelines for data workflows, including automated testing and deployment
Develop Infrastructure as Code (IaC) solutions to standardize and automate platform provisioning
Implement robust data orchestration, monitoring, and observability capabilities
Establish and enforce data quality frameworks to ensure reliability and trust in data products
Support real-time data platforms operating at extreme scale
Partner with platform squads to deliver self-service data infrastructure products
Drive best practices for automation, resiliency, scalability, and operational excellence
Influence technical direction, mentor senior engineers, and lead through ambiguity
Qualification
Required
8+ years of progressive experience in DataOps, Data Engineering, or Platform Engineering roles
Strong expertise in data warehousing, data lakes, and distributed processing technologies (Spark, Hadoop, Kafka)
Advanced proficiency in SQL and Python; working knowledge of Java or Scala
Deep experience with Google Cloud Platform (GCP) data and infrastructure services
Expert understanding of microservices architecture and containerization (Docker, Kubernetes)
Proven hands-on experience with Infrastructure as Code tools (Terraform preferred)
Strong background in CI/CD methodologies applied to data pipelines
Experience designing and implementing data automation frameworks
Advanced knowledge of data orchestration, monitoring, and observability tooling
Ability to architect highly scalable, resilient, and fault-tolerant data systems
Strong problem-solving skills and ability to operate independently in ambiguous environments
Preferred
Experience with real-time streaming systems at very large scale
Exposure to AWS or Azure data platforms (in addition to GCP)
Experience with data quality tooling and governance frameworks
Background building internal developer platforms or self-service infrastructure
Experience influencing technical strategy across multiple teams or domains
Company
SMASH
Smash focuses on providing talent search, recruiting, and compliance services.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Kelly Phillipps
Founder
Company data provided by crunchbase