Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions. Architect and build the modern cloud based data warehouse platform, including transition from legacy. Develop and support of Data Ingestion Framework (using Spark, Python, Snowpipe etc.) Database and ETL/ELT development, including stored procedures, queries, performance tuning, archiving, etc. Implement DevOps techniques and practices to enable efficient development processes and an evergreen platform. Provide strategic direction for data engineering initiatives and roadmap. Collaborate with, and lead a small team of data engineering professionals. Foster a collaborative and inclusive team environment to drive innovation and high performance. Drive innovation in data engineering through continuous learning, identifying and enabling new capabilities. Communicate progress, challenges, and milestones to senior leadership. Work collaboratively in cross-functional teams and communicate effectively with Technical and Non-technical stakeholders. 8+ years of relevant experience and proven track record of technical analysis, design, development, integration with, and implementation of enterprise systems. Ability to effectively manage multiple functions or guide junior staff and initiatives. Excellent leadership and decision-making skills to drive team performance. Proficiency in data warehousing concepts (i.e. data modelling, data transformations), cloud data warehousing and distributed data sourcing solutions. Extensive experience with programming languages such as Python and SQL. Hands on experience with Snowflake Good understanding of Unix shell scripting Knowledge about DevOps implementation in Data space Extensive experience in building and scaling data pipelines, solutions, platforms and architectures, with 5+ years developing ETL flows. Demonstrated success in aligning data strategies with business objectives. Strategic mindset to drive innovation and continuous improvement in data engineering solutions. Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience. 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. 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 Interested in flexible working opportunities? Speak to our recruitment team to find out more. 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.
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