{"id":2559278,"url":"https://alion.io/job/lean-solutions-group-where-talent-meets-technology-lead-data-engineer","title":"Lead Data Engineer","company":{"id":3775695,"name":"Lean Solutions Group","domain":"leangroup.com","url":"https://alion.io/company/leangroup-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-28T05:59:10Z"}},"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":["Medellín, Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-10-14T20:10:12Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T22:16:08Z","board_verified":false,"closed_at":"2026-10-21T22:16:08Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Description\nCompany Overview:\nGlobal Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.\nPosition Title: Data Engineer\nCategory: Data Engineering & Analytics\nSeniority: Lead\nLocation: LATAM\nWhat you will be doing:\nWe are seeking a hands-on architect or lead, with a strong data engineering background to lead a Microsoft Fabric implementation across multiple workstreams. This leader will translate business priorities into an actionable backlog, orchestrate delivery across engineering pods, ensure production-grade quality, and contribute directly to development and problem solving. The ideal candidate is a great communicator and orchestrator, comfortable engaging executives and practitioners, with a bias for action and outcomes.\nRequired Skills & Experience\n8+ years in data engineering/analytics, including 2+ years leading multi-team or multi-workstream delivery.\n\nStrong Microsoft Fabric experience or equivalent (Databricks/Synapse plus readiness to ramp on Fabric quickly).\n\nStrong expertise with solution patterns, technical direction, and guardrails for Microsoft Fabric (OneLake, Lakehouse, Warehouse, Real-Time Analytics, Pipelines, Dataflows, Power BI).\n\nProficiency with PySpark in notebooks and Python-based engineering practices.\n\nStrong KQL skills for Real-Time Analytics scenarios.\n\nAdvanced SQL (T-SQL or equivalent) and performance tuning.\n\nDemonstrated experience with agile delivery and Azure DevOps (ADO): writing epics/stories/tasks, roadmaps, boards.\n\nGit-based workflows; experience with VS Code/Visual Studio.\n\nProven experience with Power BI dataset/model design and report lifecycle management.\n\nExcellent communication, executive presence, and risk/issue management.\n\nNice To have\nData Vault modeling expertise and star schema modeling best practices.\n\nCI/CD with Azure DevOps Pipelines or GitHub Actions; Infrastructure as Code concepts.\n\nTabular Editor proficiency; C# scripting for analytical workflows.\n\nExperience with Power BI Dataflows Gen1/Gen2 and Fabric pipelines.\n\nRelevant certifications (e.g., DP-203, Microsoft Fabric, Power BI).\n\nSoft Skills\nStrong problem-solving and debugging skills\n\nAbility to work independently and take ownership of projects\n\nStrong communication skills with the ability to articulate, diagram and document complex engineering concepts.\n\nWhy you will love GTS:\nJoin a powerful tech workforce and help us change the world through technology\n\nProfessional development opportunities with international customers\n\nCollaborative work environment\n\nCareer path and mentorship programs that will lead to new levels.\n\nJoin GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. 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