Senior Vice President, Senior Data Engineer

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with $205 billion in assets under management as of December 31, 2024. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, private equity, real assets, and listed equities. The firm has over 1200 employees and offices in 23 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

For additional information please visit our website at www.oaktreecapital.com

Responsibilities

As a Senior Data Engineer within Oaktree's Information Solutions team, you will design, build, and maintain scalable and efficient data pipelines using Azure technologies, ensuring data quality, integrity, and availability for various business needs. You will play a crucial role in integrating data from diverse sources, transforming it into meaningful insights, and enabling data-driven decision-making across the organization.

Responsibilities include:

• Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Develop code using ETL and ELT processes to transform data from Bronze to Silver, and Gold layer of maturity of data
• Ensure DevOps for code development and deployment.
• Perform Unit testing, system testing, QA testing and integrated engineering. Automated testing.
• Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Synopse, Microsoft Fabric.
• Developing data models and maintaining data architecture to support data analytics and business intelligence reporting.
• Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
• Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.

Technical Responsibilities:

• Develop and maintain robust data pipelines using Azure Data Factory, orchestrating the flow of data from various sources, including Bloomberg, FactSet, Morningstar, and internal systems.
• Utilize Azure Databricks (or similar Azure tech stack) to perform data transformations, cleansing, and aggregations, preparing data for analysis and reporting purposes.
• Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
• Develop and maintain data models for investment data, ensuring alignment with business requirements and supporting efficient data analysis and reporting.
• Optimize data storage and retrieval processes using Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB, Azure Synopse, or Azure Fabric selecting the most appropriate storage solutions based on data characteristics and performance needs.
• Collaborate with data scientists and business analysts to understand data requirements and implement data solutions that meet those needs effectively.
• Contribute to the development and maintenance of documentation related to data pipelines, data models, and data quality processes.

Qualifications

• Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
• 10+ years of experience in data and analytics space and 8+ years of experience in job specific work.
• Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions.
• Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark).
• Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data).
• Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams.

Personal Attributes

• Relationship Building; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds.  He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers.
• Communication; strong interpersonal and verbal/written communication skills; ability to present complex material.
• Independence & Collaboration; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns.
• Work Ethic; focus on continual development, performance, accountability, and self-motivation.
• Flexibility & Organization; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment.
• Intellectual Curiosity; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies.
• Driving Results; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through.
• Judgment; makes recommendations and decisions that balance a variety of factors.

Education

Bachelor’s degree in Computer Science, Finance, or other relevant discipline.

Base Salary Range

$200,000 - $225,000

In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement.  The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.

Equal Opportunity Employment Policy

Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

For positions based in Los Angeles

For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.