{"id":3079822,"url":"https://alion.io/job/xplore-principal-data-engineer","title":"Principal data engineer","company":{"id":11126,"name":"Xplore","domain":"xplore.com","url":"https://alion.io/company/xplore","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":144000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-28T00:00:00Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.\nThis role is for an experienced technical leader to lead the technical roadmap and upskill the Xplore data engineering team. You will define the end-to-end data platform (ingestion, storage, modeling, governance, quality, observability), unify data currently siloed across on-prem network/OSS/BSS systems, Salesforce CRM, and other business sources, and embed compliance, lineage, and cataloging by design.\nKey responsibilities include:Own the architecture and delivery of a scalable enterprise lakehouse platform following the medallion pattern (bronze/silver/gold layers) to support BI, data science, and AI use cases.\nStand up robust ingestion pipelines from on-prem and cloud systems (e.g., SQL Server/Oracle, network telemetry/OSS, Salesforce via APIs/CDC), enabling both batch and streaming workloads.\nImplement governance, security, and compliance controls end-to-end: role-based and attribute-based access control, row/column-level security, secrets and key management, data retention, and privacy-by-design aligned to Canadian regulations (e.g., PIPEDA/CPPA, Quebec Law 25) and other relevant standards.\nEstablish enterprise data lineage and cataloging using modern metadata management and data discovery tools; curate business glossaries and data contracts with domain owners.\nDefine data quality SLAs/SLOs and automated validation at ingestion and transformation stages; implement observability and alerting for freshness, volume, and schema drift.\nPartner with analytics, data science, and AI/ML teams to provision clean, well-documented datasets and features, and enable MLOps-friendly patterns.\nLead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).\nCreate reference architectures, standards, and reusable frameworks; mentor data engineers and champion engineering excellence and security-first development.\nCollaborate across information security, privacy, legal, and compliance domains to translate policies into technical controls, and to support audits and evidence collection.\nEngage with business stakeholders to prioritize the roadmap, translate use cases into data products, and measure value delivered.\nBuild, mentor, and inspire a high-performing data engineering team; establish best practices for reproducibility, testing, and documentation\nThe ideal candidate will possess:10+ years of data engineering experience, including 4+ years leading platform or team-level initiatives.\nExpert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).\nStrong experience with enterprise data cataloging, lineage, and governance at scale.\nProficiency in Python and/or Scala, advanced SQL, and performance tuning for large-scale ELT.\nPractical knowledge of ingestion from Salesforce, on-prem RDBMS, files/telemetry, and APIs; experience bridging on-prem systems with cloud platforms.\nSolid grasp of security and privacy controls (RBAC, encryption, tokenization/masking), and familiarity with Canadian privacy regimes (PIPEDA/CPPA, Law 25) and other relevant standards.\nExperience with CI/CD, infrastructure as code, automated testing frameworks, and data observability solutions.\nComfort collaborating across domains (Network, Care, Marketing, Finance, Sales) and translating business needs into scalable data products.\nAdvanced academic background in a quantitative discipline such as Computer Science, Engineering, Mathematics, or a related field.\nExcellent communication skills, a coaching mindset, and the ability to set platform vision and deliver iteratively.\n\nCondition of Employment:\nAs a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.\nXplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. 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