At a Glance
- Tasks: Build innovative data solutions using Snowflake to drive insights and support business needs.
- Company: Join Morgan Stanley, a leader in investment banking and technology innovation.
- Benefits: Flexible working arrangements, competitive salary, and a commitment to diversity and inclusion.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by shaping data strategies that redefine markets and communities.
- Qualifications: 8+ years of experience in data solutions, strong SQL skills, and leadership abilities.
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.
What you'll do in the role:
- Build out data platform using the 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.
What you'll bring to the role:
- Proven track record of designing and implementing complex data solutions using 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 of relevant experience.
Other Information:
- Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
- Flexible work statement: Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
- Equal Opportunity Statement: Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Lead Data Warehousing Engineer employer: 96 Morgan Stanley UK Ltd
Morgan Stanley is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to shape the future of finance. With a strong commitment to diversity and inclusion, we provide ample opportunities for professional growth and development, alongside flexible working arrangements that promote work-life balance. Join us in our London office to collaborate with top talent and leverage cutting-edge technology in a role that directly impacts our clients and the broader community.
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We think you need these skills to ace Lead Data Warehousing Engineer
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