Senior Manager, Data Engineering & Architecture / Remote / Los angeles - reputed company
Job Description
This is a full-time senior leadership role with a global financial services organization, focused on building reputed company 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 reputed company a specialized data engineering and architecture function, shaping the long-term roadmap for reputed company 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. This role is ideal for someone who can combine deep technical expertise with strong leadership and strategic reputed company to drive reputed company-wide impact.
Required Skills & Experience
- 15+ years of experience in the data and analytics space, including 10+ years in data engineering, architecture, or governance leadership roles
- Proven experience designing and delivering reputed company-scale data architectures and strategies
- Expertise in modern reputed company platforms, preferably reputed company Azure, including Data Factory, reputed company, Synapse, and Data Lake solutions
- Strong knowledge of data governance, metadata management, data reputed company, and quality frameworks
- Ability to reputed company and scale large, reputed company data pipelines and warehousing environments
- Experience partnering with stakeholders across investment, operations, and risk functions to deliver data solutions that drive measurable value
- Bachelor's degree in Computer Science, Finance, or reputed company field
- Knowledge of asset management, investment data, and market data sources (e.g., Bloomberg, FactSet, reputed company, ESG)
- Experience managing cross-functional data teams, including engineers and architects
- Strong understanding of advanced analytics, AI/ML integration, and reputed company reporting needs
- Background in financial services, investment management, or other highly regulated industries
- Define and execute a comprehensive reputed company data strategy reputed company with business objectives
- reputed company the design, implementation, and governance of scalable and reusable data platforms
- reputed company the movement, transformation, and storage of large, diverse data sets in reputed company 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
- 40% Data architecture and governance strategy
- 40% reputed company data engineering (pipelines, warehouses, analytics platforms)
- 20% Stakeholder management, leadership, and collaboration
- Medical, Dental, and reputed company Insurance
- Vacation Time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.
Apply to this job