{"id":2291851,"url":"https://alion.io/job/itineris-data-platform-engineer","title":"Data Platform Engineer","company":{"id":47942,"name":"Itineris","domain":"itineris.net","url":"https://alion.io/company/itineris","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":{"grade":"C","score":64,"open_postings":15,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"Bicep","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Polaris","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure Cosmos DB","optional":true}],"status":"live","first_seen_at":"2026-07-10T12:00:19Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T22:42:46Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":93},"description":"Hyderabad, India\nThere’s a saying at Itineris: Together goes a long way. And we live by that. Whether your job is translating our customers’ needs into the best software, selling, coding, or keeping our business running smoothly, we’re united by the same mission: growing our company and delivering innovative software that empowers energy and water utilities to engage better with their customers.\nUMAX is the brand name of our software solution for water and energy utilities. It automates their business processes and enables them to better engage with their customers. UMAX is a cloud-based solution, built on the powerful Microsoft Dynamics 365 platform.\nRole Overview\nWe are building a secure, scalable, and product-oriented data platform, called NEXUS, that becomes the backbone for analytics, operational data services, and AI/ML products. This role accelerates how our teams ingest, govern, activate, and innovate with data, reducing time-to-insight and enabling AI-driven applications responsibly.\nAs a Data Platform Engineer\nYou’ll work closely be a part of a small, five-person Data & AI platform team, and partner with the AI Practice and UMAX Product / Engineering teams, with an initial focus on:\nOwn our Apache Iceberg lakehouse end to end. REST catalog (Polaris) operations, table maintenance (compaction, snapshot expiry, orphan cleanup, sort clustering etc.), storage layout, and the merge-on-read vs copy-on-write tradeoff per table.\nBuilding and operating CDC / replication and batch + streaming ingestion pipelines for analytics, operational, and AI/ML consumers.\nTuning the cost and performance of distributed compute and storage (incremental vs full rewrites, spot capacity, autoscaling, file sizing).\nProvisioning data-specific features (e.g. databases, feature stores, model registries)\nDeliver version-aware snapshots / SCD publish (cross-window deduplication, deterministic and auditable snapshot assembly, merges / upserts into well-contracted consumer stores).\nEnforcing data quality, lineage, and access / classification controls across batch & streaming.\nOrchestrating and operating scheduled, idempotent pipeline runs (failure recovery, retries).\nOffering well-contracted data stores and access APIs, built for portability across our multi-cloud (SaaS / hybrid / federated) footprint.\nShip via GitOps and IaC (declarative deployment (ArgoCD / Helm), infrastructure-as-code (Bicep) - owning the pipeline, not just the code).\nQualifications\n5+ years in data infrastructure, platform engineering, or related backend roles.\nDeep knowledge of:\nDeep Apache Spark internals: partitioning, skew, file sizing, join strategies, fluency in reading plans\nLakehouse / warehouse design (Iceberg / Delta)\nEfficient storage design (partitioning, Z-ordering, compaction)\nData replication & CDC, and batch + streaming ingestion (e.g. Kafka / Event Hubs / IoT Hub)\nSchema & data contract governance\nSQL & analytical data modelling (current state, SCD, merges / upserts, dimensional modelling)\nProficient in Python, with strong software engineering and containerized application development (e.g. Docker / Kubernetes); comfortable building well-tested, modular, performant code. Infrastructure-as-code familiarity is a plus but secondary.\nObservability mindset: metrics, tracing, and logging for data systems.\nNice to Have\nOperationalizing ML data: feature stores, model / feature serving contracts, drift / monitoring data (modeling itself stays with the AI Practice).\nBuilding prediction-serving, write-back, and feedback-label pipelines that connect model outputs back into UMAX (the NEXUS integration layer), to support AI/ML initiatives.\nDocument stores (Cosmos DB, MongoDB).\nExperience with regulated / utility customer data.\nWhat we offer\nA fast-growing and international environment with offices in Hyderabad (India), Ghent (Belgium), Atlanta (USA), London (UK).\nWorking with future-ready water and energy companies and building valuable utility expertise. \nInternal mobility, developing your career through various educational programs and growth paths.\nAn entrepreneurial mindset where you have a direct impact on our growth journey.\nAn open environment where we understand the importance of taking a break to recharge and achieve the best results. We make it a priority to celebrate milestones, both big and small.\nOnboarding, learning and buddy programs to get ready for a smooth start in your new job.\nA flexible and inclusive working environment - where people can just be who they are, and where we offer flexible options for hybrid working so you can work in a way that suits you best.\nCompetitive perks & benefits, because we want to help you reach your full potential, both at work and in your personal life.\nA lot of fun moments with an eye for sports, celebration and wellbeing, important for maintaining a healthy work-life balance.","description_format":"text","description_chars":4866,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ERP & Business Management Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-11T19:17:54Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.232,"p_room":0.28,"age_days":93,"expected_fill_days":22,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/itineris-data-platform-engineer","json_url":"https://alion.io/job/itineris-data-platform-engineer.json","meta":{"generated_at":"2026-10-12T23:57:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":39362,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":47942},"rest":"https://alion.io/mcp/rest/get_company?id=47942"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fitineris-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fitineris-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fitineris-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/itineris-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fitineris-data-platform-engineer"}]}