{"id":2813163,"url":"https://alion.io/job/coditude-data-platform-architect-data-fabric-lakehouse","title":"Data Platform Architect (Data Fabric / Lakehouse)","company":{"id":4442740,"name":"Coditude","domain":"coditude.com","url":"https://alion.io/company/coditude","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"GraphDB","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Snowflake","optional":false},{"name":"Time Series","optional":false},{"name":"InfluxDB","optional":true},{"name":"MinIO","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true}],"status":"closed","first_seen_at":"2026-09-01T11:10:18Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-19T07:10:14Z","board_verified":false,"closed_at":"2026-10-19T07:10:14Z","days_open":47,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":47},"description":"Role summary\nOwns the end-to-end architecture of the Data Platform, starting on Azure and moving to Snowflake. Defines the lakehouse / data fabric blueprint, validates it against the initial pilot use cases, and sets the standards that every downstream engineer builds against. This person is accountable for the platform holding up as IT, OT, and IoT sources are onboarded and as GraphDB and MLOps layers are introduced in later phases.\nKey responsibilities\nDesign the target data fabric / lakehouse architecture on Azure, with a clear migration path to Snowflake.\nDefine ingestion, storage, processing, governance, and consumption layers, including how GraphDB fits for asset topology and ontology.\nValidate the architecture against one to two priority pilot use cases before broad rollout.\nSet data modeling, security, lineage, and access-control standards across all sources.\nEstablish the reference patterns for IT / OT / IoT integration and hand them to the integration engineers.\nReview designs from data engineering, GraphDB, and MLOps workstreams for consistency with the platform blueprint.\nPlan the phased roadmap so agentic AI capabilities can be layered on once the data foundation is stable.\nMust-have skills and experience\nProven experience architecting data lakehouse or data fabric platforms end to end.\nDeep hands-on Azure data stack experience (Data Lake, Synapse / Fabric, Data Factory, or equivalent).\nSnowflake architecture and migration experience.\nStrong data modeling across relational, document, time-series, and graph paradigms.\nExperience integrating heterogeneous IT / OT / IoT sources at enterprise scale.\nWorking knowledge of GraphDB / knowledge graph concepts for topology and ontology.\nGovernance, lineage, and audit-trail design experience.\nNice to have\nExposure to intelligent building management or industrial OT environments.\nFamiliarity with MLOps platform requirements.\nExperience planning for agentic AI or advanced analytics on top of a data platform.\nRelevant stack\nAzure (Data Lake, Synapse / Fabric, Data Factory), Snowflake, GraphDB, Oracle ERP, MongoDB, PostgreSQL, Cassandra, Redis, InfluxDB, time-series stores, MinIO / NFS.\nGeneral attributes\nProactive and self-driven, able to take ownership and move work forward without waiting to be told.\nAI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.\nStrong self-learner who stays current with evolving tools, platforms, and practices.\nGood team player who collaborates well across engineering, operations, and stakeholder groups.","description_format":"text","description_chars":2578,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-18T10:51:57Z"},{"event":"close","at":"2026-10-19T07:10:14Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/coditude-data-platform-architect-data-fabric-lakehouse","json_url":"https://alion.io/job/coditude-data-platform-architect-data-fabric-lakehouse.json","meta":{"generated_at":"2026-10-21T22:20:26Z","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":31794,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":4442740},"rest":"https://alion.io/mcp/rest/get_company?id=4442740"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcoditude-data-platform-architect-data-fabric-lakehouse"},{"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%2Fcoditude-data-platform-architect-data-fabric-lakehouse"},{"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%2Fcoditude-data-platform-architect-data-fabric-lakehouse"},{"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/coditude-data-platform-architect-data-fabric-lakehouse\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcoditude-data-platform-architect-data-fabric-lakehouse"}]}