{"id":1219765,"url":"https://alion.io/job/citco-team-lead-data-engineering-databricks","title":"Team Lead, Data Engineering - Databricks","company":{"id":1907202,"name":"Citco","domain":"citco.com","url":"https://alion.io/company/citco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":101,"ghost_share":0,"stale_share":0.95,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Leadership","role_family":"Leadership","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":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":160000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true}],"status":"live","first_seen_at":"2026-03-12T21:45:52Z","employer_posted_date":"2026-03-12","last_verified_at":"2026-10-24T08:31:54Z","board_verified":true,"closed_at":null,"days_open":225,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":225},"description":"About Citco:\nSince the 1940s, Citco has provided specialist financial services to alternative investment funds, investors, multinationals, and private clients worldwide. Our data engineering initiatives represent one of our most critical technical focus areas, driving innovation across our global operations.\nAbout the Role:\nAs a Team Lead, you will lead a technical team of data engineers, ensuring best practices in performance, security, and scalability while working on Citco's enterprisewide Centralized Data Platform (CDP) built on Databricks.\nThis role requires a deep, hands-on understanding of Databricks internals and a track record of delivering large-scale data platforms in a cloud environment.\nYou'll be part of a team driving technical excellence and innovation within Citco's data engineering practice.\n Your Role:\nYou will lead and mentor a team of data engineers, conducting code reviews, design reviews, and knowledge-sharing sessions across multiple locations \nDrive the Agile/Scrum SDLC process and collaborate with team members \nDesign and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics \nDevelop and optimize ETL/ELT pipelines \nCreate and manage structured streaming pipelines for real-time data processing \nConfigure and optimize Databricks clusters and Spark jobs for optimal performance \nUtilize Delta Live Tables for data ingestion and transformations \nApply Unity Catalog features and IAM best practices for security governance and access control \nSupport infrastructure and resource management using Terraform \nImplement monitoring solutions for pipeline performance and data quality \nContribute to code reviews and knowledge-sharing sessions \n Required Qualifications:\n8+ years of experience in data engineering \n3+ years of hands-on experience with Databricks platform \nProven experience leading a team \nStrong expertise in Python and Spark programming \nDemonstrable experience in using AI in development \nProven experience with AWS or other similar cloud services \nDeep understanding of data modeling and SQL \nExperience with Delta Lake and Lakehouse architecture \nStrong knowledge of ETL/ELT principles and patterns \nExperience with version control systems (Git) \nDemonstrated ability to optimize data pipelines \nStrong problem-solving and analytical skills \nExcellent communication and collaboration abilities \nNice to Have:\nFinancial services industry experience \nExperience with multiple cloud providers \nKnowledge of AI/ML implementation patterns \nAPI development experience \nExperience with real-time data processing \nData governance framework experience \nWhat Sets You Apart:\nActive interest in emerging technologies and industry trends \nExperience implementing complex data solutions \nTrack record of continuous learning and skill development \nStrong technical documentation abilities \nExperience using AI tools to enhance productivity \nAbility to mentor junior team members \nTechnical Environment:\nPrimary Platform: Databricks \nCloud Platform: AWS (S3, Glue, Lambda) \nLanguages: Python, SQL \nTools: Delta Lake, Unity Catalog, Git \nAdditional: Real-time processing, API integrations \nSalary Range: CAD $135,000 - CAD $175,000\nThis position is not for an existing vacancy; we are building a candidate pool for future opportunities.\nOur Benefits:\nYour well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.\nWe embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.\nitco welcomes and encourages applications from people with disabilities. 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