{"id":1307744,"url":"https://alion.io/job/morgan-stanley-senior-data-engineering-specialist-hybrid","title":"Senior Data Engineering Specialist (Hybrid)","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":192,"ghost_share":0,"stale_share":0.411,"repost_share":0.026,"time_to_fill_p50_days":61,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-10T07:20:11Z","board_verified":false,"closed_at":"2026-10-10T07:20:11Z","days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"We're seeking someone to join our Analytics & Reporting Fleet team as a Senior Data Engineering Specialist in Trade Enrichment Data Reporting & Allocations (TEDRA) to build and evolve large-scale data platforms and analytics solutions that process tens of billions of trade events daily and power award-winning trade latency monitoring and reporting capabilities across Institutional Securities Technology.\nIn the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.\nSince 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.\nWhat you'll do in the role:\nDesign and develop scalable data engineering solutions supporting mission-critical trade reporting, trade monitoring, and analytics platforms.\n\nBuild and maintain high-performance database systems and data pipelines that process terabytes of data and tens of billions of records daily.\n\nDevelop software solutions using Python, Java, C++, Perl, or similar technologies to automate data processing, operational workflows, and platform management.\n\nBuild and optimize large-scale distributed data platforms leveraging technologies such as Snowflake, Databricks, SingleStore, Apache Spark, and related analytics ecosystems.\n\nDesign data models, implement complex SQL solutions, and drive performance tuning initiatives to support demanding analytical and operational workloads.\n\nLead technical planning and execution of platform migrations, database upgrades, capacity planning initiatives, and infrastructure modernization projects.\n\nChampion engineering excellence by identifying opportunities to modernize technology stacks, improve system architecture, and promote best practices in software development, data engineering, automation, observability, and operational resiliency.\n\nInfluence technical direction across multiple platforms by building consensus among stakeholders, driving adoption of modern engineering approaches, and guiding teams through complex technology transformations.\n\nSupport real-time and event-driven architectures using Kafka and related messaging technologies to enable low-latency processing and analytics.\n\nWhat you'll bring to the role:\n6+ years of experience in designing, building, and supporting large-scale data engineering platforms and data-intensive applications in distributed environments.\n\nExperience in software development using Python, Java, C++, Perl, or similar programming languages, with a strong focus on engineering quality, maintainability, and automation.\n\nUnderstanding of relational database concepts, advanced SQL development, data modelling, performance tuning, and capacity planning.\n\nExperience with modern data platforms and analytics technologies such as Snowflake, Databricks, SingleStore, Apache Spark, or comparable distributed data processing ecosystems.\n\nExperience in leading complex technical initiatives, driving platform modernization efforts, and influencing adoption of engineering best practices across multiple teams and stakeholders.\n\nAbility to design and support scalable, resilient, and high-performance systems that process large volumes of data and support critical business functions.\n\nExperience with Linux-based environments, distributed systems, and event-driven architectures leveraging technologies such as Apache Kafka.\n\nAll our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.\nKnowledge of French and English is required.\nSpécialiste principal(e) en ingénierie des données (hybride)\nNous sommes à la recherche d’une personne pour se joindre à notre équipe Analytics & Reporting Fleet à titre de spécialiste principal(e) en ingénierie des données au sein de l’équipe Trade Enrichment Data Reporting & Allocations (TEDRA), afin de concevoir et de faire évoluer des plateformes de données à grande échelle et des solutions analytiques qui traitent quotidiennement des dizaines de milliards d’événements de négociation et qui soutiennent des capacités primées de surveillance et de production de rapports sur la latence des transactions dans l’ensemble du secteur de Technologie des titres institutionnels.\nAu sein de la division Technologie, nous misons sur l’innovation pour bâtir les connexions et les capacités qui propulsent notre société, permettant à nos clients et à nos collègues de redéfinir les marchés et de façonner l’avenir de nos collectivités. Il s’agit d’un poste de responsable principal de l’ingénierie des données et de l’analytique au niveau Directeur, faisant partie de la famille d’emplois chargée de fournir des analyses spécialisées des données et une expertise favorisant la prise de décision et les perspectives d’affaires, ainsi que de concevoir des pipelines de données, de mettre en œuvre des modèles de données et d’optimiser les processus de données afin d’améliorer l’exactitude et l’accessibilité des données, notamment au moyen de techniques d’apprentissage automatique et d’intelligence artificielle.\nDepuis 1935, Morgan Stanley est reconnu comme un chef de file mondial des services financiers, évoluant et innovant constamment afin de mieux servir ses clients et les collectivités dans plus de 40 pays à travers le monde.\nCe que vous ferez dans ce rôle :\nConcevoir et développer des solutions d’ingénierie des données évolutives soutenant des plateformes essentielles de production de rapports sur les transactions, de surveillance des transactions et d’analytique.\n\nConcevoir et maintenir des systèmes de bases de données haute performance et des pipelines de données traitant quotidiennement des téraoctets de données et des dizaines de milliards d’enregistrements.\n\nDévelopper des solutions logicielles à l’aide de Python, Java, C++, Perl ou de technologies similaires afin d’automatiser le traitement des données, les flux de travail opérationnels et la gestion des plateformes.\n\nConcevoir et optimiser des plateformes de données distribuées à grande échelle au moyen de technologies telles que Snowflake, Databricks, SingleStore, Apache Spark et des écosystèmes analytiques connexes.\n\nConcevoir des modèles de données, mettre en œuvre des solutions SQL complexes et piloter des initiatives d’optimisation des performances afin de soutenir des charges de travail analytiques et opérationnelles exigeantes.\n\nDiriger la planification technique et l’exécution des migrations de plateformes, des mises à niveau de bases de données, des initiatives de planification de capacité et des projets de modernisation de l’infrastructure.\n\nPromouvoir l’excellence en ingénierie en identifiant les occasions de moderniser les piles technologiques, d’améliorer l’architecture des systèmes et de favoriser les meilleures pratiques en développement logiciel, en ingénierie des données, en automatisation, en observabilité et en résilience opérationnelle.\n\nInfluencer l’orientation technique de plusieurs plateformes en établissant un consensus entre les parties prenantes, en favorisant l’adoption d’approches modernes d’ingénierie et en guidant les équipes dans le cadre de transformations technologiques complexes.\n\nSoutenir les architectures en temps réel et pilotées par événements à l’aide de Kafka et de technologies de messagerie connexes afin de permettre un traitement et des analyses à faible latence.\n\nCe que vous apporterez au rôle :\nAu moins six années d’expérience dans la conception, le développement et le soutien de plateformes d’ingénierie des données à grande échelle et d’applications à forte intensité de données dans des environnements distribués.\n\nExpérience en développement logiciel à l’aide de Python, Java, C++, Perl ou de langages de programmation similaires, avec un fort accent sur la qualité de l’ingénierie, la maintenabilité et l’automatisation.\n\nBonne compréhension des concepts de bases de données relationnelles, du développement SQL avancé, de la modélisation des données, de l’optimisation des performances et de la planification de capacité.\n\nExpérience avec des plateformes de données modernes et des technologies analytiques telles que Snowflake, Databricks, SingleStore, Apache Spark ou des écosystèmes comparables de traitement distribué des données.\n\nExpérience dans la direction d’initiatives techniques complexes, la mise en œuvre d’efforts de modernisation de plateformes et l’influence de l’adoption des meilleures pratiques d’ingénierie auprès de multiples équipes et parties prenantes.\n\nCapacité à concevoir et à soutenir des systèmes évolutifs, résilients et hautement performants qui traitent de grands volumes de données et soutiennent des fonctions d’affaires essentielles.\n\nExpérience avec les environnements basés sur Linux, les systèmes distribués et les architectures pilotées par événements utilisant des technologies telles qu’Apache Kafka.\n\nTous nos postes sont situés à Montréal, au Québec. Nous offrons un environnement de travail hybride combinant le télétravail et la présence au bureau.\nLa connaissance du français et de l’anglais est requise.\nCe texte a été traduit à l’aide d’outils automatisés. Bien que nous nous efforcions d’en assurer l’exactitude, veuillez consulter la version originale en anglais ou communiquer avec les ressources\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nMorgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.\nSpécialiste principal(e) en ingénierie des données (hybride)CE QUE VOUS POUVEZ ATTENDRE DE MORGAN STANLEY:\nChez Morgan Stanley, nous levons, gérons et allouons des capitaux pour nos clients, afin de les aider à atteindre leurs objectifs. 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