Senior Data Platform Architect (Institutional Securities) at Morgan Stanley

Job description

We are seeking someone to join our team as a Senior Client Strat Data Architect. In the Fixed Income division, we work in fast-paced and constantly changing global markets to assess and manage risk, trade securities, manage relationships with clients, and structure and execute innovative transactions. Join a high-impact team shaping how data drives decisions across the Institutional Securities division. As a Senior Client Strat Data Architect, you will play a key role in building a scalable data platform that delivers critical business insights and KPIs across the firm. This is a highly visible position where you will partner with stakeholders across technology and business functions to design and deliver advanced data solutions that support strategic decision-making at the senior leadership level. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously 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: Building data platforms & insights Design, build, and optimize scalable data pipelines across multiple data sources Enable advanced analytics and deliver actionable insights to drive business performance Develop and maintain reporting tools tailored for senior stakeholders (e.g., COOs, Business Management) Driving delivery & execution Manage multiple workstreams simultaneously, balancing priorities, timelines, and dependencies Ensure successful delivery of client-centric data products and reporting solutions Translate business requirements into robust, scalable technical solutions Leveraging AI & innovation Integrate LLMs and Generative AI capabilities into data workflows Enhance automation, data processing, and analytical capabilities through modern technologies Team leadership & collaboration Mentor and support junior developers, fostering technical growth and best practices Collaborate across global teams, influencing stakeholders across technology and business Data governance & resilience Implement strong data governance, security, and recovery frameworks Ensure data integrity, compliance, and reliability across platforms What you’ll bring to the role: Strong foundation in computer science or related field (data structures, algorithms, OOP), with hands-on programming experience in languages such as Python or C++ – language is flexible; we value strong coding fundamentals and a willingness to actively code in day-to-day work Proven experience in data engineering and distributed computing (5+ years preferred) Strong hands-on expertise with Snowflake is useful ; experience with other technologies such as Spark, Hadoop, or AWS is advantageous Experience delivering complex, large-scale data solutions in a fast-paced environment Demonstrated ability to manage multiple priorities and drive end-to-end delivery Experience mentoring developers or leading small-to-medium sized teams Why join us Work on strategic, business-critical data platforms used by senior leadership Be at the forefront of AI-driven data innovation (LLMs / GenAI) Gain exposure to global stakeholders across Institutional Securities Play a key role in shaping how data is leveraged to drive business outcomes #LI-NI1 BPMM 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 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 collabor