Database & Data Engineering Specialist (Python) (Hybrid)

We’re seeking someone to join our Data Obfuscation team as a Database & Data Engineering Specialist (Python) to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives. In 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 Cybersecurity Engineering III position at Associate level, which is part of the job family responsible providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Since 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. What you'll do in the role: Design and develop resilient on-prem and multi-cloud database solutions Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments. Deliver secure and performant database capabilities that accelerate all data-driven teams while enforcing governance and reliability at scale Design and build automation and tooling to enable firmwide data engineering and application development teams, helping them to optimize data processing based on their specific database platforms and user needs Contribute to strategic initiatives around system modernization, platform standardization, observability and cost efficiency Design, develop and maintain innovative scalable solutions to optimize complex data pipelines including ETL processes Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management and permission hierarchy, schema and object level high performance data movement Build solutions with push down optimization, ELT, Spark based data processing and streaming, replication, partitioning, clustering, change data capture and time travel What you'll bring to the role: 4+ years of proven track record in designing and implementing complex database and data solutions Strong expertise in database engineering in multiple database platforms in various environments (eg PostgreSQL, DB2, SQL Server, Sybase, Snowflake, AzureSQL, MongoDB. Teradata, Oracle etc) 2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (like Apache Spark for Python) is a plus, enabling scalable data processing across multiple cores or machines. Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka and/or Informatica) Proficiency in programming in Python, and/or Java/Shell. Preferred certification in Python, SnowPro Advanced Administrator, AWS/Azure/GCP data platform, DB2 DBA, PostgreSQL Professional, MongoDB DBA Expertise in performance optimization, scalability, problem-solving and analytical skills Bachelor’s degree in Computer Science, Engineering, or a related field All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office. Knowledge of French and English is required. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At 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