{"id":3908349,"url":"https://alion.io/job/querentia-gcp-data-engineering-lead","title":"GCP Data Engineering 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":0.716,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-28T00:00:00Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-11-08T00:21:07Z","board_verified":true,"closed_at":null,"days_open":165,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":164},"description":"Job SummaryWe are seeking a highly experienced GCP Data Engineering Lead to provide senior technical leadership and delivery management for enterprise-scale cloud data engineering initiatives. The ideal candidate will combine deep hands-on expertise in Google Cloud Platform data pipeline architecture with strong Agile delivery and quality assurance leadership.\nThis role will be responsible for leading end-to-end pipeline architecture, QA strategy, sprint execution, technical governance, and offshore team coordination across high-volume data ingestion and analytics environments.\nKey Responsibilities\nTechnical Leadership & Architecture\nLead pipeline architecture design for Netscout and Sandvine ingestion pipelines.\nDesign scalable data ingestion and transformation workflows using:\nGCS landing zones\nGoogle Cloud Dataflow\nGoogle BigQuery\nBronze/Silver/Gold Medallion architecture layers\nDefine Medallion Architecture data flow standards and transition rules.\nLead data reconciliation and parity validation strategies across enterprise data platforms.\nProvide hands-on support for complex transformation logic and pipeline optimization.\nQA & Data Quality Management\nDefine and own end-to-end QA strategy for data pipelines including:\nTest coverage\nQuality gates\nDefect management\nGovernance validation\nArchitect reusable test templates for batch and streaming pipelines.\nDefine data quality specifications for each Medallion layer.\nReview and assure quality of all pipeline and QA deliverables.\nDelivery & Team Management\nLead Agile sprint planning, sprint reviews, and retrospectives.\nMaintain RAID logs (Risks, Assumptions, Issues, Dependencies) and drive mitigation activities.\nProduce weekly delivery status reports and maintain project trackers.\nCoordinate with client engineering teams on environments, access, and technical decisions.\nManage offshore Data Engineers and Observability Engineers including task allocation and quality oversight.\nDrive mentoring, knowledge transfer, and delivery excellence initiatives.\nRequired Qualifications\nAdvanced experience with Google Cloud Platform data engineering services including:\nGoogle BigQuery\nGoogle Cloud Dataflow / Apache Beam\nPub/Sub\nGCS\nStrong hands-on development expertise in Python and SQL.\nExperience designing QA frameworks for cloud data pipelines using tools such as Great Expectations or dbt tests.\nStrong understanding of Medallion Architecture and enterprise data processing patterns.\nExperience leading Agile delivery processes and technical project governance.\nStrong stakeholder communication and team leadership skills.\nPreferred Qualifications\nAdvanced Google Cloud Platform certifications.\nTelecom, telemetry, or high-volume streaming data experience.\nExperience with observability and data governance frameworks.\nPrior experience managing offshore delivery teams.\nStrong mentoring and knowledge transfer capabilities.\nKey Skills & Competencies\nGCP Data Engineering\nBigQuery & Dataflow\nApache Beam & Pub/Sub\nMedallion Architecture\nData Pipeline QA & Governance\nPython & SQL Development\nAgile Delivery Management\nData Quality & Reconciliation\n• Team Leadership & Stakeholder Management\nSkills\nGCP, Data Engineering","description_format":"text","description_chars":3195,"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":["Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-11-07T04:56:30Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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