Data Engineer_Director_Technology Administration Office

Profile Description

Division

We’re seeking someone to join our team as (Director) who will be instrumental in building and maintaining the data infrastructure that powers our technology metrics and KPIs, with a particular focus on measuring and improving the firm's Architectural Maturity. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. You will be one of the first members of the team based in India, providing a unique opportunity to contribute to the team's growth and direction in this location. While you will be an early team member in India, you will be working alongside many stakeholders and colleagues also located in India. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We are also looking for candidates who aspire to contribute to the broader data architecture community and become thought leaders in the space. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

Enterprise_Technology

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities

Technology Administration Office

This is Director position that manages administrative tasks related to technology infrastructure and services, ensuring smooth operations and support for the organization's technology needs.

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.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

• Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources (e.g., APIs, databases, message queues, streaming platforms) into our technology metrics data lake.
• Implement data quality checks, data validation rules, and monitoring to ensure data accuracy, completeness, and reliability. This includes implementing data lineage tracking.
• Contribute significantly to the definition, development, and publication of key performance indicators (KPIs) specifically designed to measure and track improvements in Technology Architecture maturity. This includes working with stakeholders to define metrics related to architecture principles adherence, technology standardization, reduction of technical debt, and other relevant architectural goals.
• Collaborate with stakeholders across technology and business units to understand their data needs related to architectural maturity, translate them into technical solutions, and provide data-driven insights.
• Work closely within the Enterprise Architecture team on the definition and refinement of the overall data strategy for technology metrics, including data modeling and architecture, with a focus on supporting architectural maturity measurement.
• Research and evaluate new data technologies and approaches (e.g., real-time data ingestion, data mesh architectures, self-service data platforms) to improve our data infrastructure and processes, particularly those related to architectural maturity assessment.
• Proactively identify and address data-related challenges, including performance bottlenecks, data quality issues, and security vulnerabilities, that may impact the accurate measurement of architectural maturity.
• Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.
• Participate in code reviews and contribute to the improvement of development processes.
• Contribute to the broader data architecture community through knowledge sharing, presentations, or open-source contributions (preferred, but not required).

What you’ll bring to the role:

• At least 6+ years' relevant experience would generally be expected to find the skills required for this role.
• 6+ years of being a practitioner in data engineering or a related field.
• Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, Dask).
• Proficiency in SQL and experience with relational databases (e.g., Sybase, DB2, Oracle, PostgreSQL, SQL Server).
• Experience with data warehousing concepts and technologies (e.g., dimensional modeling, star schema, data vault modeling, Kimball methodology, Inmon methodology, data lake design).
• Familiarity with ETL/ELT processes and tools (e.g., Informatica PowerCenter, IBM DataStage, Ab Initio) and open-source frameworks for data transformation (e.g., Apache Spark, Apache Airflow).
• Experience with message queues and streaming platforms (e.g., Kafka, RabbitMQ).
• Experience with version control systems (e.g., Git).
• Experience using Jupyter notebooks for data exploration, analysis, and visualization.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a geographically distributed team.

Preferred Skills and Experience:

• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with data governance and security best practices (e.g., data access control, data masking).
• Experience with large-scale data processing frameworks (e.g., Spark, Hadoop).
• Experience with NoSQL databases (e.g., MongoDB).
• Background in Finance IT or experience working in a large financial institution.
• Experience with Agile methodologies.
• Familiarity with data catalog and metadata management tools (e.g., Collibra).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Snowflake.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.