Data Engineer - Snowflake

We're seeking someone to join our Investment Banking & Global Capital Markets Technology team as a Vice President in the Advisory Sales & Distribution Super Department to build innovation solutions to support the complex and evolving needs of our businesses in Institutional Securities Group.

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 Vice President 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.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

• Build out data platform using Snowflake DBaaS platform to enable the business to gain insights across multiple datasets around Client Coverage.
• Drive the data warehousing architecture & transformation from raw data to published layer for use by development teams and business users.
• Integrate both internal Client / Deals / CRM / Revenue / AUM / Expenses data and external market data from S&P / LSEG / Equilar / Pitchbook and other vendors to enrich and power next best actions around our clients and contacts.
• Collaborate with business product owners, software development engineers and data engineering professionals.
• Communicate progress, challenges, and milestones to senior leadership.
• Collaborate with stakeholders to prioritize projects and allocate resources effectively.
• Provide strategic direction for data engineering initiatives and roadmap.
• Develop and oversee the data engineering budget and resource planning.
• Ensure compliance with data security, privacy, and regulatory requirements.
• Foster a collaborative and inclusive team environment to drive innovation and high performance.

• Proven track record of designing and implementing complex data solutions using the Snowflake DBaaS platform including schema creation, data sharing, row & column level security / masking.
• Strong SQL query and data modelling skills.
• Experience with designing and building data warehouses for business intelligence.
• Experience data ingestion pipelines and Snowflake dynamic tables.
• Strong data & software development skills with Python, Git and SDLC lifecycle.
• Proven ability to oversee end-to-end data processes from ingestion to consumption.
• Strong background in data governance, metadata management, and data lineage.
• Demonstrated success in aligning data strategies with business objectives.
• Excellent leadership and decision-making skills to drive business outcomes.
• Effective communication with stakeholders to define project requirements and priorities.
• Ability to use tools like Microsoft Power BI / Jupyter Notebooks to rapidly prototype new concepts.
• At least 8 years' relevant experience would generally be expected to find the skills required for this role.

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.

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.