Senior Manager, Data Engineering & Architecture / Remote / Los angeles

Position Overview

This is a full-time senior leadership role with a global financial services organization, focused on building next-generation data architecture and engineering solutions. The company emphasizes a collaborative, high-performance culture that values innovation, governance, and the ability to deliver data-driven insights at scale. You will lead a specialized data engineering and architecture function, shaping the long-term roadmap for enterprise data strategy and governance while enabling efficiency, scalability, and trusted analytics across the firm. The position offers a flexible hybrid schedule with U.S. office locations and occasional on-site collaboration with stakeholders.

Key Responsibilities

• Define and execute a comprehensive enterprise data strategy aligned with business objectives
• Lead the design, implementation, and governance of scalable and reusable data platforms
• Oversee the movement, transformation, and storage of large, diverse data sets in cloud environments
• Build and optimize pipelines, warehousing, and analytics workloads to support firmwide reporting and insights
• Partner with business and technology stakeholders to ensure alignment and adoption of data solutions
• Manage a team of engineers and architects to deliver high-quality, secure, and compliant data assets
• Establish and enforce best practices around governance, quality, and data lifecycle management

Required Qualifications

• 15+ years in the data and analytics space, including 10+ years in data engineering, architecture, or governance leadership roles
• Proven experience designing and delivering enterprise-scale data architectures and strategies
• Expertise in modern cloud platforms, preferably Microsoft Azure (Data Factory, Databricks, Synapse, and Data Lake solutions)
• Strong knowledge of data governance, metadata management, data lineage, and quality frameworks
• Ability to oversee and scale large, complex data pipelines and warehousing environments
• Experience partnering with stakeholders across investment, operations, and risk functions to deliver data solutions that drive measurable value

Preferred Qualifications

• Bachelor’s degree in Computer Science, Finance, or related field
• Knowledge of asset management, investment data, and market data sources (e.g., Bloomberg, FactSet, Morningstar, ESG)
• Experience managing cross-functional data teams, including engineers and architects
• Strong understanding of advanced analytics, AI/ML integration, and enterprise reporting needs
• Background in financial services, investment management, or other highly regulated industries

Benefits & Perks

• Bonus Eligible
• Medical, Dental, and Vision Insurance
• Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis.