Descripción de la oferta
The¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser considerado.DataOps Team Leadat CloudPay leads and scales the company’s DataOps capability, ensuring reliable, secure, and efficient operation of data pipelines, platforms, and analytics services. The role sits at the intersection of data engineering, platform operations, and analytics, enabling rapid, trustworthy data delivery across the business while maintaining strong governance and compliance.Key ResponsibilitiesLeadership & Team ManagementLead, mentor, and develop a high‑performing DataOps teamSet technical direction, priorities, and operating standards for DataOpsFoster a culture of reliability, automation, ownership, and continuous improvementSupport hiring, onboarding, and career development within the teamData Platform & OperationsOwn the operational health, performance, and availability of CloudPay’s data platformsDesign and implement monitoring, alerting, and incident management for data pipelinesEnsure SLAs, SLOs, and data freshness commitments are metDrive automation to reduce manual intervention and operational riskData Pipeline Reliability & QualityImplement robust CI/CD processes for data pipelines and analytics assetsEstablish data quality checks, validation frameworks, and anomaly detectionPartner with Data Engineering to improve pipeline resilience, scalability, and cost efficiencyManage schema evolution, dependency tracking, and lineage visibilityGovernance, Security & ComplianceEnsure strong data access controls, auditability, and regulatory compliance (e.g., GDPR)Support payroll‑ and payment‑grade data accuracy and traceabilityCollaborate with Security and Compliance teams on policies and controlsPromote best practices in data privacy, retention, and classificationCross‑Functional CollaborationAct as a bridge between Data Engineering, Analytics, Product, and OperationsEnable self‑service analytics while protecting platform stabilityInfluence roadmap decisions with operational insights and metricsCommunicate clearly with technical and non‑technical stakeholdersExperience NeededStrong experience in DataOps, Data Engineering, or Platform EngineeringHands‑on knowledge of modern data stacks (e.g., cloud data warehouses, ETL/ELT tools, orchestration frameworks)Experience with cloud platforms (AWS Preferred), Azure, or GCPProficiency in MySQL and at least one scripting language (Python preferred)Experience implementing CI/CD, infrastructure‑as‑code, and automated testing for data systemsFamiliarity with observability, monitoring, and alerting toolsLeadership & Ways of WorkingProven experience leading or mentoring technical teamsStrong problem‑solving xcskxlj and operational mindsetExperience working in Agile or DevOps‑oriented environmentsComfortable owning incidents, post‑mortems, and continuous improvement actionsWhat Will Give You The AdvantageExperience in SaaS, fintech, payroll, payments, or regulated environmentsExposure to large‑scale, high‑volume, business‑critical datasetsUnderstanding of data governance, security, and compliance principlesAbout You And Our Core ValuesTaking ownership, working with integrity and respectBeing a team player is key to our cultureSolution and customer focusedGreat initiative with the goal for excellence in achieving resultsDedicated to developing and always looking for continuous improvementsBe creative, be committed, be engaged, and enjoy what you doEqual Employment OpportunityCloudPay is committed to being an equal opportunities employer.#J-18808-Ljbffr
