Python Database Administrator/Engineer - Director

Python Database Administrator/Engineer - Director

We're seeking someone to join our Data Obfuscation squad as a hybrid D Python Data/Database Engineer in Cybersecurity to build reusable database services, automation frameworks and design scalable data processing platforms.

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 Data Engineer position at Director level, which is part of the Data & Analytics Engineering job family responsible for designing, building and maintaining reliable, efficient and secure data systems.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

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 automations 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
• Contribute to the function through complex project tasks and initiatives
• Interact regularly with team members and occasionally leadership on a range of topics

• At least 5 years' relevant experience would generally be expected to find the skills required for this role.
• Proven track record of 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)
• Strong expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, and asynchronous/concurrent 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, Java and/or shell.
• Preferred certification in Python, AWS/Azure/GCP data platform, DB2 DBA, PostgreSQL Professional, MongoDB DBA, SnowPro Advanced Administrator
• Expertise in performance optimization and scalability
• Excellent problem-solving and analytical skills
• Ability to process information, translate into plans and present summaries to the squad
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience