• Design and develop scalable, high-performing, reusable, and extendable data solutions using Snowflake, dbt, Airflow, and SQL Server to meet business requirements.
• Create enterprise level data models and architecture patterns that consider functionality, cose, performance, scalability, reusability, security, and extensibility.
• Analyze requirements, effect solution design, drive development, and oversee production deployment in large enterprise setting.
• Provide technical leadership on the implementation, support, and management of enterprise data, simplifying data access, eliminating redundancies, and integrating disparate data structures into coherent enterprise data models.
• Identify strategic data/workflow gaps and advocate for new technologies and techniques.
• Lead and manage a Scrum team, organizing and prioritizing project deliverables, assigning tasks, and monitoring progress.
• Architect and implement data governance and security measures to ensure data integrity and compliance with regulatory standards.
• Collaborate with cross-functional teams to identify data-driven opportunities and provide strategic recommendations.
• Perform data analysis, profiling, and validation to ensure accuracy and quality of data.
• Stay up-to-date with industry trends and best practices in data architecture, data engineering, and data management.

• Bachelor's degree in computer science, statistics, engineering, or a related field; advanced degree preferred
• Minimum of 10 years of experience as a Data Engineer, Developer, or similar role
• Strong technical proficiency in Snowflake, dbt, Airflow, SQL, and other relevant data tools and technologies
• Proficiency in relational and dimensional modeling techniques and experience working with finance professionals in a time-sensitive environment
• Ability to prioritize and manage multiple projects and deadlines simultaneously, with experience leading and managing Scrum teams following Agile methodologies
• Solid understanding of fixed income and asset management principles and processes, including experience designing data solutions for a financial organization across various asset classes
• Mastery of both legacy and modern tools/platforms, such as SSIS, SSRS, and SQL Server

• Strong leadership and communication skills to effectively collaborate with stakeholders, technical teams, and business users at all levels within the organization
• Strong interpersonal skills and ability to convey technical concepts to non-technical staff
• Self-starter and team player with the ability to manage complex challenges

• Experience with large-scale data solutions and migration projects; BlackRock Aladdin experience is highly desirable
• Data warehouse implementation experience for a buy-side investment firm
• Experience integrating external data providers

Estimated Compensation:

Base Salary: For CA & NY based positions, the base salary range is $200k to $230k. This represents base salary range only.

Other Compensation: In addition to the base salary, this position will be eligible to be considered for an annual discretionary bonus.

Benefits: Eligible for TCW’s comprehensive benefits package. See more information here.