{"id":110523,"url":"https://alion.io/job/brookfield-manager-data-engineer","title":"Manager, Data Engineer","company":{"id":3728,"name":"Brookfield","domain":"brookfield.com","url":"https://alion.io/company/brookfield","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","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":158000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-06-23T00:00:00Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-10-16T17:18:36Z","board_verified":true,"closed_at":null,"days_open":116,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":116},"description":"Location\nBrookfield Place - 181 Bay StreetTechnology Services\nTechnology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.\nBrookfield Culture\nBrookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.\nJob Description\nJob Title: Manager, Data Engineer\nLocation: Toronto\nReports To: Director of Data Analytics\nWe are looking for a motivated Manager, Data Engineer, to ensure the delivery of innovative data solutions that align seamlessly with our business objectives. In this pivotal role, you will harness your extensive expertise in data engineering, particularly with platforms like Databricks and Snowflake, to spearhead the design, implementation, and optimization of our data models. The ideal candidate will possess profound technical acumen, exceptional communication skills to engage with senior stakeholders, and an unwavering passion for tackling complex data challenges.\nWhat You Will Do:\nDesign and implement scalable data models and architectures within cloud data platforms like Databricks or Snowflake to support analytics and business intelligence initiatives.\nDesign and implement ETL/ELT processes between various sources into Snowflake and/or Databricks platforms, ensuring high performance and reliability.\nImplement data validation and cleansing processes to ensure data accuracy and integrity.\nMigrate existing data infrastructure to Snowflake, ensuring optimal performance and scalability.\nAssess risks associated with data pipelines and identify potential issues proactively to minimize business impact.\nIdentify opportunities using data-driven approach and lead data engineering projects that deliver value to the business.\nIdentify areas for optimization within existing data workflows and processes, and devise plan to execute improvements for operational efficiency\nWork closely with business stakeholders to understand requirements and formulate data-driven solutions that address business needs.\nWork with end users or data scientists to develop automated workflows for key reporting processes, and develop governance and controls for underlying data and processes\nCommunicate data engineering processes, architecture and technical solutions to business stakeholders and management\nCollaborate with cross-functional teams to ensure alignment between data engineering initiatives and broader technological and business objectives.\nOptimizing database schemas and performance for reading and writing of data and upstream processing in the reporting system\nWorking with business end users on maintaining systems to enable ad-hoc or periodic analytics and cashflow runs in production\nProvide technical guidance and support to junior data engineers and business power users.\nQualifications and Skills\nA Bachelor's degree in Computer Science, Information Management, Data Analytics or related discipline.\n5+ years of hands-on experience in data engineering and optimization with significant exposure to data platforms such as Snowflake, Databricks and/or other data platforms.\nHands-on experience with data orchestration and workflow management using tools such as Workato or other similar platforms.\nProven expertise in ETL/ELT, data modeling, data warehousing, data Lakehouse concepts with extensive experience with SQL and Python programming.\nUsing best practice data frameworks like Data Centric Development Frameworks or Medalion Architecture when onboarding data, ensuring structures and efficient data integrations processes.\nStrong understanding of RESTful APIs and experience in integrations of various data sources and services.\nFamiliarity or experience in source code management and continuous integration practice using Azure DevOps.\nStrong analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities\nAbility to assess and manage risks within data workflows and implement effective mitigation strategies.\nStrong communication skills, with the ability to collaborate effectively with cross-functional teams\nRelevant certification in Snowflake and or Databricks is a plus.\nFamiliarity with data governance frameworks and ensuring compliance with data protection regulations\nFamiliarity with integrating learning models into data pipelines and understanding their infrastructure requirements\nFamiliarity or experience with Investment management business domain, specifically in terms of data modelling across Public and Private asset classes (nice to have)\nExperience in designing and developing interactive data applications using Streamlit and Databricks Apps to improve data accessibility and user experience.\nImplement and support Databricks Genie and platform capabilities, including automation, governance, security, and production support.\nSalary Range: $120,000 - $140,000 CAD\nPosition Opening Reason:\nNew PositionBrookfield is committed to maintaining a Positive Work Environment that is safe and respectful; our shared success depends on it. Accordingly, we do not tolerate workplace discrimination, violence or harassment.\nBrookfield is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act. 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