{"id":1252839,"url":"https://alion.io/job/telamon-hr-solutions-data-architect-oil-gas","title":"Data Architect - Oil & Gas","company":{"id":3806678,"name":"Telamon HR Solutions","domain":"telamonhr.co.in","url":"https://alion.io/company/telamon-hr-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-12T06:14:47Z","employer_posted_date":null,"last_verified_at":"2026-09-12T06:14:47Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Role Overview : \n\nThe Data Architect (Oil & Gas) will lead end to end data architecture strategy, solution design, and implementation for global Oil & Gas clients (upstream, midstream, or downstream). The candidate will drive data modernization, enterprise data platforms, and advanced analytics adoption as part of large-scale digital transformation engagements.\n\nKey Responsibilities : \n\nData Architecture & Strategy : \n\n- Define enterprise grade data architecture blueprints, reference models, and design patterns for Oil & Gas clients.\n\n- Architect data platforms leveraging cloud ecosystems (Azure, AWS, GCP) with strong focus on scalability, security, data quality, and governance.\n\n- Design logical and physical data models, data flows, and integration architectures aligned to Oil & Gas business processes.\n\n- Establish architectural standards for master data, metadata, lineage, ontologies, and taxonomy frameworks.\n\n- Incorporate emerging technologies such as AI/ML, knowledge graphs, IoT/SCADA data pipelines, predictive analytics, and industry frameworks like OSDU.\n\nSolution Delivery & Technical Leadership : \n\n- Lead cross functional delivery teams across data engineering, analytics, integration, and platform modernization.\n\n- Oversee end to end data platform implementations, ensuring architectural integrity, performance, and reliability.\n\n- Conduct technical design reviews, provide hands on guidance, and ensure adherence to best practices and enterprise architecture guardrails.\n\n- Partner with cloud, application, and domain teams to ensure seamless integration across enterprise systems.\n\n- Drive high quality deliverables by ensuring robust testing, validation, and deployment practices.\n\nOil & Gas Domain Enablement : \n\n- Apply data architecture principles to Oil & Gas business domains including : \n\n1. Production operations\n\n2. Asset management\n\n3. Drilling and subsurface data\n\n4. Pipeline operations\n\n- Refining and petrochemicals : Architect data ingestion and harmonization of time-series, geospatial, subsurface, and IoT data.\n\n- Advise clients on adopting Oil & Gas industry data standards, with a strong understanding of OSDU Data Platform and domain data models.\n\nStakeholder & Client Management : \n\n- Act as a senior advisor to client architecture leaders, supporting C level stakeholders with data-driven strategies.\n\n- Communicate architectural concepts to technical and non-technical stakeholders with clarity.\n\n- Manage vendor engagements and technology partners to ensure alignment to standards and client objectives.\n\n- Contribute to proposals, pursuit teams, and thought leadership for Oil & Gas data transformation initiatives.\n\nRequired Qualifications : \n\n- 7+ years of overall experience in data architecture, data engineering, and enterprise data management.\n\n- 3+ years of hands on experience in Oil & Gas industry projects (upstream, midstream or downstream).\n\n- Proven experience designing and delivering large-scale cloud data platforms (Azure/AWS/GCP).\n\nStrong expertise in : \n\n- Data modeling (conceptual, logical, physical)\n\n- Data integration & ETL/ELT pipelines\n\n- Data governance and quality frameworks\n\n- Time-series, IoT, and real time data platforms\n\n- Experience with OSDU, SCADA/IoT data, geospatial datasets, and subsurface data structures preferred.\n\n- Strong leadership, stakeholder management, and client facing communication skills.\n\n- Experience leading distributed global teams and working in multi vendor environments.\n\nPreferred Skills : \n\n- Strong Experience with Oil & Gas analytics platforms, digital oilfield solutions, and asset performance systems.\n\n- Certification in Cloud platforms (Azure, AWS, or GCP).\n\n- Experience with AI/ML use cases applied to O&G operations and asset management.\n\n- Understanding of DevOps/DataOps, containerization, and microservices architecture.\nSkills\nData Architect, Data Modeling, Data Engineering, SCADA, Data Pipeline, Data Quality, Data Governance, Data Management, Predictive Analytics","description_format":"text","description_chars":3999,"description_truncated":false,"requirements":{"experience_years_min":7,"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":"2026-09-25T18:04:06Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long 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