Kroll · 3 hours ago
Director, Data Engineering
United States
Full-time
Remote
Director/Executive
$185K/yr - $280K/yr
12+ years expKroll is a global leader in risk and financial advisory solutions, and they are seeking a Director of Data Engineering to lead the enterprise data engineering strategy. This role involves designing and governing data platforms and pipelines that power analytics and business intelligence, while driving modernization of Kroll’s data ecosystem.
AccountingConsultingNavigationRisk ManagementSecurity
Responsibilities
Define and execute Kroll’s Data Engineering strategy and roadmap in alignment with the Data & AI vision. Translate enterprise goals into measurable data platform capabilities
Champion modernization of data engineering practices including automation, observability, and scalability
Partner with peers in Reporting, Analytics, AI, Technology, Infosec, corporate functions, and business units to deliver a unified and extensible data foundation
Lead the design and operation of the enterprise data platform architecture across ingestion, transformation, and serving layers
Define and enforce standards for data security, lineage, metadata, and quality
Collaborate to operationalize compliance, privacy, and risk management
Drive adoption of modern architectural patterns such as data mesh, lakehouse, and event-driven pipelines
Oversee end-to-end data delivery: ingestion, transformation, orchestration, and consumption pipelines
Implement CI/CD, GitOps, and Infrastructure-as-Code to streamline data deployment
Ensure data systems meet reliability and performance SLAs through monitoring and proactive capacity planning
Collaborate with product and analytics leads to enable reusable, certified data products that fuel AI and insight
Build and mentor a global team of senior data engineers, architects, and platform engineers
Establish engineering excellence and cross-functional collaboration with analytics and product teams
Promote a culture of technical rigor, transparency, and continuous learning
Qualification
Required
12+ years of progressive experience in data engineering or data architecture, including at least 5 years leading enterprise-scale teams
Proven success implementing modern data ecosystems (cloud, lakehouse, streaming, data mesh, etc.)
Strong proficiency in ETL/ELT frameworks, distributed computing, and orchestration tools
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Excellent communication and stakeholder engagement skills
Deep experience architecting and managing modern data ecosystems across Azure and Databricks, with working knowledge AWS
Expertise in designing and governing Lakehouse and Medallion architectures to unify structured, semi-structured, and unstructured data at scale
Hands-on understanding of data fabric, data mesh, and domain-oriented architecture models
Strong command of cloud infrastructure fundamentals — compute, storage, networking, cost optimization, and security
Proven ability to design, build, and oversee ETL/ELT pipelines and data services using Chainsys, Azure Data Factory, Airflow, Databricks, and Delta Lake
Advanced proficiency in Python and the Spark ecosystem (PySpark, Spark SQL), with demonstrated capability to set and enforce best practices
Skilled in object-oriented and functional programming, asynchronous processing, and hybrid batch/streaming architectures
Deep knowledge of API-driven data integration, SDK development, and API lifecycle management
Experience operationalizing metadata management, data cataloging, and lineage tracking using Azure Purview, or equivalent
Skilled in defining and enforcing data quality, reliability, and compliance frameworks
Hands-on knowledge of observability practices — monitoring, alerting, and incident response with Prometheus, Grafana, or Datadog, or equivalent
Expertise in SQL/Spark query tuning, data pipeline optimization, and distributed system performance engineering
Experienced in scaling fault-tolerant pipelines for petabyte-level workloads ensuring high availability
Knowledge of containerization (Docker, Kubernetes) and applying CI/CD and DevOps pipelines to data workflows
Familiarity with modern frameworks such as FastAPI, Pydantic, Polars, and Pandas
Experience automating data profiling, lineage, and governance reporting
Champion of infrastructure-as-code, GitOps, and continuous integration standards
Partner with AI and analytics teams to operationalize data pipelines supporting ML model training and inference
Deep understanding of how data engineering architecture impacts model performance and explainability
Architectural Thinker: Designs with scalability and resilience in mind
Execution Leader: Converts strategy into measurable operational outcomes
Innovator: Actively leverages emerging technologies to drive value
Collaborator: Bridges engineering, analytics, and business priorities seamlessly
Mentor: Develops diverse technical talent and fosters engineering excellence
Benefits
Healthcare Coverage: Comprehensive medical, dental, and vision plans.
Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave.
Protective Insurances: Life insurance, short- and long-term disability coverage, and accident protection.
Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
Retirement Plans: 401(k) plans with company matching.
Company
Kroll
Kroll is a provider of risk solutions that helps clients make confident risk management decisions.
5001-10000 employees
H1B Sponsorship
Kroll has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (14)
2023 (10)
2022 (15)
2021 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2023-12-13Acquired
Leadership Team
Jennifer Huntington
Chief Operating Officer
Alan Brill
Senior Managing Director
Recent News
Morningstar.com
2025-12-02
2025-11-19
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