{"id":3740782,"url":"https://alion.io/job/kpmg-canada-senior-data-integration-developer-fabric","title":"Senior Data Integration Developer, Fabric","company":{"id":1186989,"name":"KPMG Canada","domain":"kpmg.ca","url":"https://alion.io/company/kpmg-ca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vaughan, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T21:17:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T03:38:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"OverviewAt KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.\nThe SeniorData Integration Developer (Fabric) designs, builds,and supports secure, scalable data integration solutions for KPMG Canada’sinternal clients through the Enterprise Analytics Centre of Excellence (CoE). Therole helpsestablishand operationalize Microsoft Fabric within a hybrid analytics ecosystem that includes the Enterprise Analytics Data Lake and Azure-native services.\nThe role combines hands-on data engineering with production reliability, platform governance, documentation, and stakeholder collaboration. Responsibilities span thedesign, deployment, monitoring, and optimization ofdata ingestion, transformation, orchestration, lakehouse, warehouse, and real-time solutions using Microsoft Fabric, OneLake, and related Azure services.\nWhat you will do\nData engineering and modernization\nDesign and implement end-to-end Fabric data engineering solutions for downstream reporting and analytics using Data Factory pipelines, Dataflows Gen2, notebooksand OneLake\nBuild and maintainreliable batchand, where required, streamingdata pipelines using Fabric Data Factory, Spark/PySpark, Eventstreams, and Real-Time Intelligence capabilities\nDevelop extract, transform, load (ETL) and extract, load, transform (ELT) processes to ingest data from on-premises, cloud, API, file, database, and event-based sources into governed Fabric data stores\nImplement medallion architecture patterns across Bronze, Silver, and Goldlayers, using Delta tables and reusable transformation frameworks\nDesign and optimizeFabric OneLakesolutions, SQL endpoints, data models, and curated data products for downstream reporting and analytics\nSupport migration and modernization of legacy, on-premises, Azure Data Factory, Synapse, or other Azure data workloads into Microsoft Fabric where appropriate\nDevelop and optimizeSQL, Databricks (PySpark)andPython transformations to prepare, validate, and enrich data for analytics use cases\nProduction reliability and optimization\nMonitor capacity, pipelines, notebooks, refreshes, data quality, and workload performance.Diagnose failures and implement sustainable corrective actions\nCreate operational runbooks,architecture diagrams, data flow documentation, support procedures, and technical standards for Fabric solutions\nSecurity, governance, and delivery practices\nApply source control, branching, automated testing, deployment pipelines, and release-management practices usingGit or equivalent tooling\nImplement and operatesecurity and governance controls, including workspace roles, least-privilege access, row-level security, sensitivity considerations, lineage, and Microsoft Purview integration\nCollaboration and technical standards\nCollaborate with architects, analytics engineers, data analysts, business analysts, administrators, and business stakeholders to translate requirements into technical solutions that can be maintainedand supported in production\nContribute technical judgment through design reviews, platform standards, reusable assets, proof-of-concept projects, and continuous improvement of the Enterprise Analytics operating model\nWhat you bring to the role\nUniversity degree or college diploma in computer science, computer engineering, data engineering, information systems, mathematics, or a relateddiscipline, or equivalent practical experience\nFour or more years of professional experience in data engineering, data integration, analytics engineering, business intelligence engineering, or a related field\nHands-on experience with Microsoft Fabric and/or comparable Azure data technologies, including Azure Data Factory, Synapse Analytics, Azure Data LakeandDatabricks\nExperience designing and supporting scalable data integration solutions, including ETL/ELT pipelines, data orchestration, and enterprise data platforms\nStrong SQL skills and practical experience with data warehousing, lakehousearchitectures, dimensional modeling, and performance optimization\nProficiencyin Python and PySparkfor data transformation, automation, and troubleshooting\nExperience working with Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory, notebooks, and Delta tables\nUnderstanding ofmodern data architecture concepts, including Medallion architecture, data governance, metadata management, security, and lifecycle management\nExperience with Git-based source control, CI/CD practices, and deployment automation\nAbility to monitor, troubleshoot, and optimizeproduction data solutions while supporting operational reliability\nExperience collaborating with business and technical stakeholders to translate requirements into scalable analytics solutions\nKPMG Ontario Region Pay Range Information\nThe expected base salary range for this position is $87,500 to $130,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.\nProviding you with the support you need to be at your best\nOur Values, The KPMG Way\nIntegrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters\nKPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.\nAdjustments and accommodations throughout the recruitment process\nAt KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.\nAI Usage\nWe embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.\nWe believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.\nData engineering and modernization\nDesign and implement end-to-end Fabric data engineering solutions for downstream reporting and analytics using Data Factory pipelines, Dataflows Gen2, notebooksand OneLake\nBuild and maintainreliable batchand, where required, streamingdata pipelines using Fabric Data Factory, Spark/PySpark, Eventstreams, and Real-Time Intelligence capabilities\nDevelop extract, transform, load (ETL) and extract, load, transform (ELT) processes to ingest data from on-premises, cloud, API, file, database, and event-based sources into governed Fabric data stores\nImplement medallion architecture patterns across Bronze, Silver, and Goldlayers, using Delta tables and reusable transformation frameworks\nDesign and optimizeFabric OneLakesolutions, SQL endpoints, data models, and curated data products for downstream reporting and analytics\nSupport migration and modernization of legacy, on-premises, Azure Data Factory, Synapse, or other Azure data workloads into Microsoft Fabric where appropriate\nDevelop and optimizeSQL, Databricks (PySpark)andPython transformations to prepare, validate, and enrich data for analytics use cases\nProduction reliability and optimization\nMonitor capacity, pipelines, notebooks, refreshes, data quality, and workload performance.Diagnose failures and implement sustainable corrective actions\nCreate operational runbooks,architecture diagrams, data flow documentation, support procedures, and technical standards for Fabric solutions\nSecurity, governance, and delivery practices\nApply source control, branching, automated testing, deployment pipelines, and release-management practices usingGit or equivalent tooling\nImplement and operatesecurity and governance controls, including workspace roles, least-privilege access, row-level security, sensitivity considerations, lineage, and Microsoft Purview integration\nCollaboration and technical standards\nCollaborate with architects, analytics engineers, data analysts, business analysts, administrators, and business stakeholders to translate requirements into technical solutions that can be maintainedand supported in production\nContribute technical judgment through design reviews, platform standards, reusable assets, proof-of-concept projects, and continuous improvement of the Enterprise Analytics operating model\nUniversity degree or college diploma in computer science, computer engineering, data engineering, information systems, mathematics, or a relateddiscipline, or equivalent practical experience\nFour or more years of professional experience in data engineering, data integration, analytics engineering, business intelligence engineering, or a related field\nHands-on experience with Microsoft Fabric and/or comparable Azure data technologies, including Azure Data Factory, Synapse Analytics, Azure Data LakeandDatabricks\nExperience designing and supporting scalable data integration solutions, including ETL/ELT pipelines, data orchestration, and enterprise data platforms\nStrong SQL skills and practical experience with data warehousing, lakehousearchitectures, dimensional modeling, and performance optimization\nProficiencyin Python and PySparkfor data transformation, automation, and troubleshooting\nExperience working with Fabric components such as OneLake, Lakehouse, Warehouse, Data Factory, notebooks, and Delta tables\nUnderstanding ofmodern data architecture concepts, including Medallion architecture, data governance, metadata management, security, and lifecycle management\nExperience with Git-based source control, CI/CD practices, and deployment automation\nAbility to monitor, troubleshoot, and optimizeproduction data solutions while supporting operational reliability\nExperience collaborating with business and technical stakeholders to translate requirements into scalable analytics solutions\nKPMG Ontario Region Pay Range Information\nThe expected base salary range for this position is $87,500 to $130,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.\nProviding you with the support you need to be at your best","description_format":"text","description_chars":11903,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Advisory, Valuation & Restructuring","IT Consulting & Digital Transformation","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-04T11:39:39Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Positions approved through LMIA in 12 months: 7","filings_12m":7,"filings_prev_12m":21,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream; High Wage","cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":48,"reasons":["conf:26","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/kpmg-canada-senior-data-integration-developer-fabric","json_url":"https://alion.io/job/kpmg-canada-senior-data-integration-developer-fabric.json","meta":{"generated_at":"2026-11-08T14:54:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31520,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1186989},"rest":"https://alion.io/mcp/rest/get_company?id=1186989"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkpmg-canada-senior-data-integration-developer-fabric"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkpmg-canada-senior-data-integration-developer-fabric"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkpmg-canada-senior-data-integration-developer-fabric"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kpmg-canada-senior-data-integration-developer-fabric\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkpmg-canada-senior-data-integration-developer-fabric"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3740782}},{"tool":"search_jobs","arguments":{"company":"kpmg.ca","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3740782},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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