Job description

At Kroll, our professionals combine analytical rigor, deep market insight, and independence to deliver defensible analysis and practical solutions. We think globally, act with transparency, and encourage our people to do the same. Join our collaborative and supportive environment, where your work makes a real impact, this is the Kroll difference. We are strengthening our data engineering capabilities to transform how we deliver internal business intelligence and external client reporting. As a Lead Data Engineer, you will take ownership of complex initiatives, guide best practices, and mentor other engineers — while remaining deeply hands-on. This role will report to the Portfolio Valuation service line, supporting their strategic data initiatives and client delivery goals. At Kroll, your work helps protect, restore, and maximize value for our clients. Join us—and together, we’ll maximize the value of your career. Responsibilities • Design and build scalable, reliable data infrastructure and pipelines. • Mentor junior and mid-level engineers through code reviews, coaching, and knowledge sharing. • Identify and implement process improvements (automation, optimization, monitoring). • Collaborate with valuation professionals to understand the business needs and requirements. • Lead complex technical implementation work, ensuring performance and quality standards. • Collaborate with global teams to deliver fault-tolerant, high-quality data solutions. • Drive engineering excellence by enforcing coding standards, automated unit testing, and CI/CD best practices. • Lead and participate in global trainings to enhance the understanding of the infrastructure by valuation professions. • Contribute to architecture discussions and proof-of-concepts, providing input without direct ownership of roadmap. Requirements • Bachelor’s degree in computer science, Engineering, or related field (master’s preferred). Equivalent experience considered. • 5+ years of experience in data engineering or software engineering, with at least 2 years in a senior or lead role. • Proven experience building and managing ETL/ELT pipelines • Advanced proficiency with Azure, AWS, and Databricks (with a focus on data services) • Deep knowledge of Python, Spark ecosystem (PySpark, Spark SQL), and relational databases • Experience building REST APIs, Python SDKs, libraries, Spark-based data services and tools like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes • Understanding of Lakehouse architecture, Medallion architecture, and data governance • Experience with pipeline orchestration tools (e.g., Airflow, Azure Data Factory) • Strong communication skills and ability to work cross-functionally with international teams • Skilled in data profiling, cataloging, and mapping for technical data flows • Understanding of API product management principles, including lifecycle strategy, documentation standards, and versioning • Experience with CI/CD, Git, and DevOps best practices Desired Skills • Familiarity with financial statements and valuation methodologies (income approach, market approach, etc.). • Broader cloud architecture awareness (networking, security, cost optimization). • Experience tuning complex SQL/Spark queries and pipelines for performance. • Hands-on experience building Lakehouse solutions using Azure Databricks, ADLS, and/or Snowflake as part of a modern data platform architecture. About Kroll Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll. In order to be considered for a position, you must formally apply via careers.kroll.com. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability. The current salary range for this position is $90,000 to $200,000

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