Assistant Vice President - Senior Data Engineer

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with $224 billion in assets under management.  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 1500 employees and offices in 26 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 an AVP within Oaktree's Information Solutions team, you will be responsible for the integration of data operations within our data engineering frameworks, ensuring that our technical implementations are aligned with long-term scalability and sustainability. This role is pivotal in bridging the gap between engineering and business operations, enabling seamless transitions from development to deployment and maintaining the quality and integrity of our data assets. You will be tasked with building robust operational processes that support the firm’s data-driven decision-making while ensuring that data operations are fully integrated into our technical environment for future growth.

Position Summary

• As an AVP, you will be joining our Data Solutions group. This is a senior individual contributor role that will play a critical part in designing and building the next‑generation technology platform supporting Oaktree’s credit business—one of the firm’s largest and most sophisticated investment strategies.
•  Hands-on data engineering role: Work directly in building ETL/ELT data pipelines, validating data patterns, exception handling, maintaining data quality, ensuring data security standards and deploying production-grade systems daily; ideal for data engineers who prefer building over managing.
• High ownership & autonomy: Collaborate with global stakeholders (primarily Los Angeles-based) while independently driving problem identification, solution design, execution, and communication.
• data-intensive development: Build data pipelines that support batch/real time data processing, develop central data platform seamlessly with all self-service capabilities such as data integrations/orchestrations, governance and analytics.
• Product-focused data engineering: Build data products such as Index Hub, MDM, Performance Dashboard, Job Monitoring Dashboard includes health check of system performance etc. and own delivery end-to-end to support data management life cycle
• Modern cloud data architecture: Contribute to an evolving Azure-based platform, influencing scalable, reliable system design with practical, experience-driven decisions.
• Applied generative AI: Leverage AI tools to improve engineering efficiency and enhance product capabilities in a practical, results-driven way.

Responsibilities include:

• Develop and implement data workflows (fast ingestion, transformation, analytics, APIs), semantic models, data operations dashboards are designed for long-term scalability and efficiency.
• Collaborate closely with data engineering teams to define and implement operational processes that align with data pipeline architectures, ensuring robust and scalable data solutions.
• Define and develop a robust data quality rule(s) across data domains and critical data assets that proactively monitors and resolves quality issues, partnering with data owners and data stewards throughout the organization.
• Look for performance optimizing techniques, diagnosing data issues, performing root cause analysis, and working directly with technical teams or business stakeholders to remediate issues and develop corrective actions.
• Manage the day-to-day activities of data operations, ensuring that data flows through end-to-end data pipelines efficiently and accurately, with minimal disruption to downstream users.
• Implement modern engineering practices including CI/CD, testing (DBT), data observability and Release management
• Collaborate with technology and governance teams to ensure upstream data issues are addressed and that validation processes are updated as necessary to ensure long-term data integrity.
• Develop performance metrics and KPIs to measure the effectiveness of data operations, ensuring alignment with business goals and continuous improvement.

Qualifications

• 12+ years of experience in data operations, data quality and monitoring the jobs, system performance etc.
• Knowledge of the asset management industry and financial data concepts.  Experience in a fast-paced, exacting data environment.
• Expertise in data pipeline architectures, data validation frameworks, and data governance processes, with the ability to integrate operational practices into engineering frameworks for long-term scalability.
• Familiarity with querying tools (e.g., SQL), Python, .NET, knowledge of cloud (preferably Azure services – Azure DWH, ADLS, Azure DevOps, Azure Monitor, Azure Purview etc.), DBT triggers and data visualization tools such as Power BI  a plus.
• Monitoring the job schedules on daily basis, sending alerts to downstream teams for any data load delays/SLAs, diagnosing issues from job status/logs
• Triaging the issues by coordinating with business/data engineering development teams for permanent fixes and come up with clear-cut Root Cause Analysis (RCA) and sharing across all the users for closing the loop
• Documenting best practices around metadata, data catalog, release management, data load runbooks, issue resolution and data/system performance health checks

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 business, engineering, computer science, or a related field.

Shift timings: 1PM - 10PM or 2PM - 11PM

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.

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.