> Markdown version of [/jobs/ext/1249043-data-engineer-director](https://www.wearedevelopers.com/jobs/ext/1249043-data-engineer-director). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Director - **Company:** Morgan Stanley - **Location:** New York, NY, United States - **Salary:** $120,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Automation of Tests, Unit Testing, Big Data, Unix, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Stores, IBM DB2, Relational Databases, Database Design, DevOps, Greenplum, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, NoSQL, Operational Data Store, Performance Tuning, Reference Data, Software Engineering, SQL Stored Procedures, SQL Databases, Snowflake, Apache Spark, Sybase, Build Management, Data Analytics, Extreme Programming, Code Restructuring, Data Pipelines, Databricks - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fc4e6f3bbcfe61b1 ## About the Role * Strong relational database skills especially with DB2/Sybase/SQL Server or/and Postgres/Greenplum. * Required knowledge of Spark, Snowflake, and Databricks * Create high quality and optimized stored procedures and queries. * Experience with Power Designer or some similar modeling tool. * Python and Unix / K-Shell. * Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts. * Familiar with lifecycle of a trade and flows of data in an investment banking operation. * Experienced in Agile development process. * Effective communication skills. ## Description 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 Lead Data & Analytics Engineering position at the 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., This is a data engineer role in the team responsible for developing the firm's data messaging platforms and data stores that holds both transactional, reference data and aggregated risk measures for real time and archive processing and getting it into the operational data stores (ODS), archives and DataMart. The global team consists of highly technical team members who are adaptable and hands on in software development and life cycle management and proficient in devops. We deliver multiple projects for multiple business areas in parallel. The business owners and subject matter experts are globally distributed making communication to be important. The candidate is expected to collaborate closely with our users and support partners. The development is to be performed using an agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc.) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership and be a team player. What you'll do in the role: * Translate business requirement into queries against a set of relational tables and produce reporting based on the requirements. * Design and build scalable and performant databases * Database and ETL development, including stored procedures, queries, performance tuning, archiving, etc.; using python, SQL and ETL tools. * Build efficient automation scripts (using Python etc.) * The current global team members are all very skilled in domain modeling, database design (both relational and noSQL), big data, and messaging so this is an excellent opportunity to play a key role in the growing team. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)