Specialist: Senior Platform Engineer

Business Unit:

Data Strategy Group Industry:

No Industry

 Overview

Houlihan Lokey, Inc. (NYSE:HLI) is a leading global investment bank recognized for delivering independent strategic and financial advice to corporations, financial sponsors, and governments. With uniquely deep industry expertise, broad international reach, and a partnership approach rooted in trust, the firm provides innovative, integrated solutions across mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Our unmatched transaction volumes provide differentiated, data-driven perspectives that help our clients achieve their most critical goals. To learn more about Houlihan Lokey, please visit HL.com.

 Scope

We're looking for a seasoned Senior Platform Engineer to join our Platform Engineering team. You will design, build, and evolve our cloud-native platform that powers high-scale applications and AI infrastructure. You'll drive automation, reliability, cost-efficiency, and developer experience across our CI/CD, infrastructure-as-code, Kubernetes platforms, observability, and security controls. This role blends hands-on technical leadership with people management.

Responsibilities

Data Platform Ownership: Architect, implement, and operate a robust internal data platform (Kubernetes- and cloud-based) enabling self-service data ingestion, scalable processing workloads, and standardized data quality guardrails.

CI/CD Enablement: Implement and optimize pipelines (e.g., GitHub Actions) for build/test/deploy, artifact management, and promotion strategies (blue/green, canary).

ETL Frameworks & Pipeline Engineering: Design, build, and scale modular, reusable ETL/ELT frameworks and automated ingestion pipelines (batch and streaming) to ingest and process high-throughput financial, transactional, and analytical datasets.

Data Modeling & Architecture: Define and implement robust dimensional and relational data models (Star/Snowflake schemas, One Big Table, medallion lakehouse architecture) optimizing for query performance, reporting, and downstream machine learning/analytics.

Data Pipeline Orchestration: Architect and maintain resilient workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect) managing complex DAG dependencies, SLA tracking, backfill strategies, and automated failure retries.

Developer Experience: Improve inner-loop productivity with golden paths, templates, and CLI tooling; champion platform usability and documentation.

Mentorship & Collaboration: Coach engineers, partner with architecture, and product teams; lead technical initiatives and production readiness reviews.

Basic Qualifications

Bachelor’s degree in computer science, Engineering, or equivalent experience

4+ years in Data Engineering, Platform Engineering, or SRE, with proven experience owning production-grade data platforms and ETL pipelines

Strong hands-on expertise in at least one major cloud; multi-cloud experience is a plus

Advanced proficiency in SQL and dimensional data modeling (Kimball methodology, star/snowflake schemas, or medallion lakehouse architecture)

Strong Knowledge in Data Structures, Programming Language preferably Python, Golang, TypeScript

Deep experience designing and maintaining scalable ETL/ELT frameworks and pipeline orchestration (e.g., Airflow, dbt, Spark, Dagster)

Designing secure, scalable pipelines and release strategies; experience with feature flags and progressive delivery

Solid grasp of cloud infrastructure fundamentals across networking, load balancing, service discovery; Linux systems expertise

Strong communication skills and proven stakeholder management capabilities

Proven leadership and mentoring skills

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law.



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