Senior Data Engineer - Vice President - Data & Analytics Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Java, SSIS, SQL Server, Python, ETL, Agile, API Integration, Cloud Adoption, Distributed Systems, Data Integration, Technical Leadership, Team Management, Data Quality, Analytical Skills, Documentation

Industry

Financial Services

Description

Lead the end-to-end development, enhancement, and support of key Wealth Management technology applications and services, ensuring reliability and scalability within a highly regulated environment. Provide strategic technical leadership throughout the software development lifecycle—defining architectural standards, technology roadmaps, and driving the long-term vision for Java centric solutions. Manage, mentor, and grow a team of software engineers; set clear priorities, provide technical coaching, and oversee the delivery of mission-critical projects. Champion agile development practices and encourage a culture of engineering excellence, innovation, and compliance. Collaborate with product managers and other technology leaders to translate complex business requirements into effective, scalable, and maintainable technical solutions. Act as a subject matter expert for Wealth Management technologies (e.g., Java, distributed systems, cloud adoption, API integration), providing guidance and technical oversight across projects. Track, evaluate, and drive continuous improvement in team performance, delivery velocity, quality, and system health. Own estimation, planning, and execution of technology initiatives—working closely with internal/external partners and stakeholders to ensure alignment and transparent communication. Bring over 12 years of specialised experience in advanced application engineering, with deep expertise in SSIS, SQL Server, Python, and ETL frameworks. Demonstrated capability in architecting, designing, and implementing highly scalable, enterprise-grade data integration solutions for complex production environments. Possess comprehensive proficiency in managing the full ETL lifecycle with SSIS—including solution design, development, deployment, orchestration, and operational management—to ensure seamless data extraction, transformation, and loading across heterogeneous data sources. Show strong programming ability in Python, applying it for data manipulation, automated ETL pipeline orchestration, and integration with third-party tools and APIs for end-to-end data engineering workflows. Proven expertise in architecting, optimising, and maintaining large-scale, mission-critical ETL pipelines and data flows, ensuring reliability, resilience, and high performance in enterprise settings. Demonstrate exceptional analytical and diagnostic skills, using methodical approaches to resolve complex data engineering challenges while upholding data integrity and quality. Skilled in communicating complex technical concepts to diverse audiences and producing thorough technical documentation. Hands-on experience collaborating within Agile and cross-functional engineering teams, contributing to iterative delivery cycles and fostering continuous improvement. Design, implement, and administer ETL solutions using SSIS and Python, integrating disparate data sources into optimised SQL Server environments, and developing, tuning, and maintaining stored procedures and queries for efficiency and storage optimisation. Work closely with business analysts, data scientists, and stakeholders to translate data requirements into scalable, maintainable engineering solutions. Continuously monitor and enhance ETL workflows, employing advanced troubleshooting and root cause analysis to improve system performance and data quality. Author and maintain documentation on data engineering standards and best practices to ensure compliance and effective knowledge transfer across teams. Provide technical leadership and mentorship to junior engineers, sharing expertise in SQL Server, SSIS, Python, and ETL methodologies to elevate team capability. Stay abreast of emerging trends in data engineering, database architecture, and ETL technologies, proactively evaluating and adopting new tools and techniques to advance platform capabilities and maintain technical excellence. At least 6 years' relevant experience would generally be expected to find the skills required for this role. 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. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. 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. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. 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.

Responsibilities

Lead the development and support of Wealth Management technology applications, ensuring reliability and scalability. Manage and mentor a team of software engineers while collaborating with product managers to translate business requirements into technical solutions.