Website moodyscorp Moody's
Moody’s is a global integrated risk assessment firm that empowers organizations to make better decisions
VP – Data Engineering
The VP – Data Engineering will help with the modernization and transformation of the data ecosystem within Moody’s Investor Services (MIS).This person will build, maintain and influence a range of data initiatives across various business areas and drive the build out modern cloud-based data engineering practices.
Key responsibilities for this role include the following:
- Develop, build and test data engineering pipelines
- Lead a team of data engineers and data analysts to implement a modern data ecosystem to support various functions within MIS
- Recruit and build high performing team of data engineers to execute and operate at scale
- Champion the target state architecture and move data gravity from on-premises to the cloud through migration of data assets and workloads to the cloud
- Leverage ELT (Extract-Load-Transform) and distributed data mesh architecture to transform the way we manage data in the organization
- Manage data driven initiatives involving timelines, vendor relationships, and budgets to ensure projects are delivered with the highest quality and within specified timeframes.
- Help develop baseline technology standards, tools platforms and processes in support of the overall data strategy.
- Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologies
- Bachelors or Master’s degree in Computer Science or related field12+ year’s financial industry experience
- Technical understanding of relational and NoSQL databases, with implementation and support experience
- Documentation of business and data requirements experience for the purpose of data modeling
- Understanding of Relational and Dimensional Modeling, Normalization, Key Structures, Indexing, Partitioning, etc. Experience with ERWIN, ER Studio, or other data modelling tool preferred
- Proficiency with SQL query writing in a modern relational database environment, and data analysis and reverse engineering skills are a must
- Knowledge of Python, AWS tools and services, and modern data architecture concepts (such as Microservices Architecture)
- Knowledge of current database and data movement technologies
- Analytical, strategic and problem-solving skills.
- Ability to work autonomously and collaboratively with the team and other areas within Moody’s
- Excellent oral and written communication skills. Able to communicate effectively with business stakeholders, developers and senior management.
- Self-starter and results oriented, with a focus on quality and attention to detail.
- Proficient in Microsoft Office Suite
- Effective time management and prioritization skills.
- Ability to be an effective individual contributor and an effective manager
- Proven track record of leading successful data solutions
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