{"id":2809470,"url":"https://alion.io/job/dialog-axiata-senior-lead-data-engineer-platform-engineering","title":"Senior Lead Data Engineer - Platform Engineering","company":{"id":62440,"name":"Dialog Axiata","domain":"dialog.lk","url":"https://alion.io/company/dialog-axiata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"MiHCM","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-18T08:56:17Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-22T19:00:18Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Purpose\nAre you passionate about owning and evolving the core infrastructure that powers enterprise analytics, AI, and business-critical reporting? We are looking for an experienced Senior Lead - Platform Engineering to lead the end-to-end engineering, availability, security, and cost governance of our Data, BI, AIML, and Agentic AI platforms.\nIn this leadership role, you will hold administrative ownership of our core data and reporting infrastructure - including Snowflake, on-premises servers, Tableau, SSRS, and our AWS, Azure, and GCP cloud environments - and act as platform architect for major infrastructure initiatives, including cloud migration and the buildout of our emerging Agentic AI platform. You will drive platform reliability, security, and cost efficiency while leading a team of Data, Cloud, and ML Engineers.\nThe Job\nOwn end-to-end platform engineering for the organization's Data, BI, and AIML infrastructure, including Snowflake, on-premises servers, Tableau, SSRS, AWS, Azure, and GCP, ensuring platform reliability and near-100% availability.\nLead platform & capacity planning and resource provisioning across cloud and on-prem environments to support current and future business demand.\nImplement cost control measures and FinOps practices to ensure efficient, well-governed utilization and scaling of cloud and platform resources.\nImplement security measures across data and AI platforms, including infrastructure hardening, access control, and governance over confidential and sensitive data.\nManage user access provisioning across AWS, Tableau, and Snowflake, enforcing least-privilege and access governance standards.\nLead vendor engagements and day-to-day BAU support, ensuring service levels are maintained across all platform components.\nCarry out new feature trials and proofs of concept with cross-functional teams to evaluate and adopt emerging platform, Big Data, Cloud, and Agentic AI technologies.\nDesign, deploy, and operate the infrastructure underpinning the organization's Agentic AI platform, enabling next-generation automation and AI-driven decision-making capabilities.\nAct as platform architect for major infrastructure initiatives, including ongoing cloud migration and Agentic AI platform rollout, designing target-state architecture and leading execution.\nServe as the primary L3 escalation point across on-prem, AWS, GCP, Azure, and Snowflake environments.\nDrive the technology roadmap for the AI, Agentic AI, and analytics platforms practice, championing automation, standardization, and continuous improvement.\nLead, mentor, and develop a team of Data, Cloud, and ML Engineers, building capability and reducing single-person dependency risk 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