{"id":3908438,"url":"https://alion.io/job/querentia-gis-technical-lead","title":"GIS Technical Lead","company":{"id":4460938,"name":"Querentia","domain":"querentia.com","url":"https://alion.io/company/querentia","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":57,"open_postings":218,"ghost_share":0.72,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Field & Service","role_family":"Field & Service","seniority":"lead","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-02-18T00:00:00Z","employer_posted_date":"2026-02-18","last_verified_at":"2026-11-08T00:21:07Z","board_verified":false,"closed_at":null,"days_open":265,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":265},"description":"Role OverviewWe are seeking an experienced Technical Lead to drive complex, data-intensive projects combining Data Engineering and Data Science within the utilities and energy domain. This role requires hands-on leadership across large-scale datasets (including GIS and time-series data), strong stakeholder engagement skills, and experience delivering integrated AI-driven solutions.\nThe successful candidate will act as a technical liaison across business stakeholders, product teams, and engineering teams, ensuring high-quality, scalable, and business-aligned data solutions.\nKey Responsibilities\nLead technical requirements gathering sessions with business stakeholders and subject matter experts to translate business needs into detailed technical specifications and data models.\nLead the technical execution of projects involving both Data Science and Data Engineering teams to deliver integrated AI solutions.\nOversee the end-to-end data lifecycle, including data contextualization, mapping, and ingestion of large-scale structural, GIS, and time-series (e.g., AMI) data into the product.\nConfigure and customize demand forecasting and grid impact assessment modules using backend interfaces and front-end UI controls to align with client requirements.\nDesign and implement rigorous validation frameworks to ensure the accuracy, reliability, and business value of platform outputs.\nProvide technical guidance, mentorship, and support to junior data scientists and engineers.\nServe as a key technical liaison, communicating project status, risks, technical complexities, and outcomes to internal stakeholders and product teams.\nRequired Experience & Skills\nProven experience leading technical projects with significant Data Engineering and Data Science components.\nDemonstrated experience mentoring and providing technical leadership to junior team members.\nHands-on experience working with large, complex datasets including:\nStructural data (e.g., asset records)\nGeospatial (GIS) data\nTime-series data (e.g., smart meter readings)\nStrong stakeholder communication and presentation skills, with the ability to translate technical concepts for non-technical audiences.\nWorking knowledge of AWS (or other cloud-based services) relevant to data processing and MLOps.\nNice-to-Have Qualifications\nDomain experience in utilities, power systems, or the broader energy sector.\nExperience collaborating closely with product teams to implement and configure vendor platforms.\nExperience establishing data quality frameworks and governance processes.\n• Experience acting as the technical point-of-contact for third-party software 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