{"id":1590294,"url":"https://alion.io/job/job-mail-cloud-data-platform-support-engineer","title":"Cloud Data Platform Support Engineer","company":{"id":701519,"name":"Job Mail","domain":"jobmail.co.za","url":"https://alion.io/company/job-mail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"jobmail.co.za","ats_vendor":"Schema","truth_index":{"grade":"D","score":48,"open_postings":423,"ghost_share":0.723,"stale_share":0,"repost_share":0.936,"time_to_fill_p50_days":4,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-01T15:51:52Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-01T15:51:52Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"A company that provides a Privacy-Preserving Data Collaboration Platform is seeing a Cloud Data Platform Support Engineer to ensure the stability, reliability, and efficiency of their data platform, primarily hosted on Microsoft Azure (with a future vision to extend to other cloud environments).Responsibilities:\nIncident & Support: Provide technical support for cloud-based data platforms (data warehouses, pipelines, distributed computing) and swiftly resolve production incidents including performance degradation, stability issues, and data reliability concerns.\n\nRoot Cause Analysis (RCA): Perform and document root cause analysis for long-term prevention.\n\nMonitoring & Observability: Proactively monitor system health and data pipeline performance using cloud-native tools, developing dashboards, alerts, and reporting frameworks for real-time insight.\n\nAutomation: Build and maintain automation scripts using Python, PowerShell, and Bash to reduce repetitive tasks and enhance operational efficiency.\n\nPlatform Improvement: Suggest and implement improvements to increase platform resilience, reliability, and performance.\n\nCollaboration: Work closely with Data Engineers, Full Stack Support Engineers, Data Scientists, and client-facing teams for troubleshooting and resolution.\n\nKnowledge Base: Write, maintain, and share runbooks and troubleshooting guides.\n\nOn-Call: Be available for extended working hours during critical outage events.\n\nMinimum Requirements:\nEducation: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a closely related field.\n\nCertifications: Professional certifications in Microsoft Azure (Data Engineering, Administration, or Solution Architecture).\nExperience: 3+ years of hands-on experience in support engineering, cloud operations, or data engineering within a cloud environment (Microsoft Azure preferred).\n\nData Platform: Strong practical experience with cloud-hosted data platforms, including data warehouses, pipeline orchestration services, and distributed compute engines.\n\nAnalytics Platforms: Experience working with modern scalable analytics platforms such as Databricks, Spark, Azure Synapse, or Microsoft Fabric.\n\nContainerization: Familiarity with container orchestration and virtualization technologies like Kubernetes and Docker.\n\nMonitoring: Familiarity with cloud-native monitoring and observability tools.\n\nAutomation: Ability to build and maintain automation scripts using languages like Python, PowerShell, and Bash (implied by the job responsibilities).\n\nTroubleshooting: Proven ability to investigate and resolve issues using SQL/T-SQL, Python, and Spark workloads.\n\nOperations: Knowledge of incident management practices (escalation, resolution, and prevention) and experience upholding high standards for reliability in business-critical production systems.\n\nBenefits:\nCompetitive salary based on experience (salary can potentially be more based on experience/skills)\nIF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to 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open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":4,"reasons":["conf:8","agency","win:early","comp:brand"],"computed_at":"2026-10-02T01:06:31Z"},"pay":null,"html_url":"https://alion.io/job/job-mail-cloud-data-platform-support-engineer","json_url":"https://alion.io/job/job-mail-cloud-data-platform-support-engineer.json","meta":{"generated_at":"2026-10-02T01:06:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1172,"day_limit":5000,"remaining_today":3828,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}