TCW · 1 week ago
Head of Data Engineering
TCW is a firm focused on asset management, seeking a Head of Data Engineering to lead their enterprise-wide data strategy. The role involves defining strategic direction, overseeing the development of data platforms, and ensuring compliance and governance while fostering a culture of innovation and collaboration.
Asset ManagementFinanceFinancial Services
Responsibilities
Define and execute the firm’s data strategy in alignment with business goals and technology vision
Act as a key partner to the CTO, Head of Architecture, and Data Governance team to shape the future of data engineering
Promote data-driven decision-making and foster a culture of innovation and continuous improvement
Lead the design and delivery of scalable, secure, and reliable data platforms across on-premises and Azure environments
Drive integration of Snowflake, Azure Data Factory, Synapse Analytics, Data Lake Storage, and related technologies
Ensure timely, high-quality data solutions for portfolio management, Investment Operations, Corporate Services, and Distribution
Implement governance, security, and compliance standards in partnership with the Data Governance team
Maintain regulatory compliance and industry best practices
Guarantee data accuracy and reliability for all consumers
Lead and develop a blended team of employees and consultants, ensuring accountability and growth
Oversee data pipeline development, reconciliation, lineage, and access control
Continuously optimize processes for efficiency, scalability, and reliability
Partner with technology and business leaders to deliver practical, scalable solutions
Align end-to-end data strategies with enterprise architecture
Communicate priorities, progress, and outcomes to senior leadership
Identify and implement emerging technologies to advance data engineering capabilities
Leverage artificial intelligence (AI) to increase productivity, automate processes, and unlock new business value
Ensure data platforms and pipelines are designed to be AI-ready, supporting advanced analytics and machine learning initiatives
Stay ahead of industry trends and champion best practices
Qualification
Required
Bachelor's Degree in Computer Science, Engineering, or related field
15+ years of progressive experience in data engineering, data architecture, or related technology leadership roles, with significant exposure to asset management
Proven experience in migrating enterprise data platforms to the cloud, preferably Microsoft Azure, including hybrid/on-premise integration strategies
Advanced knowledge of Snowflake, Azure services (Data Factory, Synapse Analytics, Data Lake), ETL/ELT tools, and complementary technologies for data engineering and analytics
Demonstrated ability to lead and develop high-performing, geographically distributed teams composed of both employees and consultants
Strong strategic thinking combined with practical execution skills to deliver scalable, secure, and reliable data solutions
Familiarity with data governance frameworks, regulatory compliance, and best practices for data quality and security
Excellent interpersonal and stakeholder management skills, with the ability to influence senior leadership and cross-functional teams
Preferred
Master's degree preferred
Familiarity with leveraging artificial intelligence (AI) and machine learning concepts to enhance data platforms, automate processes, or support advanced analytics is a plus
Experience designing or supporting data architectures that can enable AI and machine learning initiatives is desirable
Benefits
In addition to the base salary, this position will be eligible to be considered for an annual discretionary bonus.
Eligible for TCW’s comprehensive benefits package.
Company
TCW
TCW is a global asset manager with more than fifty years of experience across fixed income, equities, and alternatives.
H1B Sponsorship
TCW has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (5)
2023 (2)
2022 (5)
2021 (4)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Nippon Life Insurance Company of Japan
2017-12-01Series Unknown
2012-08-08Acquired
Recent News
2025-10-16
2025-06-14
Company data provided by crunchbase