Descripción de la oferta
ppThe bDataOps Team Lead /b at 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. /p h3Key Responsibilities /h3 ul liLeadership Team Management ul liLead, mentor, and develop a high‑performing DataOps team /li liSet technical direction, priorities, and operating standards for DataOps /li liFoster a culture of reliability, automation, ownership, and continuous improvement /li liSupport hiring, onboarding, and career development within the team /li /ul /li liData Platform Operations ul liOwn the operational health, performance, and availability of CloudPay’s data platforms /li liDesign and implement monitoring, alerting, and incident management for data pipelines /li liEnsure SLAs, SLOs, and data freshness commitments are met /li liDrive automation to reduce manual intervention and operational risk /li /ul /li liData Pipeline Reliability Quality ul liImplement robust CI/CD processes for data pipelines and analytics assets /li liEstablish data quality checks, validation frameworks, and anomaly detection /li liPartner with Data Engineering to improve pipeline resilience, scalability, and cost efficiency /li liManage schema evolution, dependency tracking, and lineage visibility /li /ul /li liGovernance, Security Compliance ul liEnsure strong data access controls, auditability, and regulatory compliance (e.g., GDPR) /li liSupport payroll‑ and payment‑grade data accuracy and traceability /li liCollaborate with Security and Compliance teams on policies and controls /li liPromote best practices in data privacy, retention, and classification /li /ul /li liCross‑Functional Collaboration ul liAct as a bridge between Data Engineering, Analytics, Product, and Operations /li liEnable self‑service analytics while protecting platform stability /li liInfluence roadmap decisions with operational insights and metrics /li liCommunicate clearly with technical and non‑technical stakeholders /li /ul /li /ul h3Experience Needed /h3 ul liStrong experience in DataOps, Data Engineering, or Platform Engineering /li liHands‑on knowledge of modern data stacks (e.g., cloud data warehouses, ETL/ELT tools, orchestration frameworks) /li liExperience with cloud platforms (AWS Preferred), Azure, or GCP /li liProficiency in MySQL and at least one scripting language (Python preferred) /li liExperience implementing CI/CD, infrastructure‑as‑code, and automated testing for data systems /li liFamiliarity with observability, monitoring, and alerting tools /li /ul h3Leadership Ways of Working /h3 ul liProven experience leading or mentoring technical teams /li liStrong problem‑solving and operational mindset /li liExperience working in Agile or DevOps‑oriented environments /li liComfortable owning incidents, post‑mortems, and continuous improvement actions /li /ul h3What Will Give You The Advantage /h3 ul liExperience in SaaS, fintech, payroll, payments, or regulated environments /li liExposure to large‑scale, high‑volume, business‑critical datasets /li liUnderstanding of data governance, security, and compliance principles /li /ul h3About You And Our Core Values /h3 ul liTaking ownership, working with integrity and respect /li liBeing a team player is key to our culture /li liSolution and customer focused /li liGreat initiative with the goal for excellence in achieving results /li liDedicated to developing and always looking for continuous improvements /li liBe creative, be committed, be engaged, and enjoy what you do /li /ul h3Equal Employment Opportunity /h3 pCloudPay is committed to being an equal opportunities employer. /p /p #J-18808-Ljbffr
