Senior Data Engineer

Kroll; Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Kroll is seeking a high-performing Data Architect in Manila, Philippines. You will design and implement robust data infrastructures to support analytics and AI initiatives. This position requires at least 3 years of experience in data platform architecture and proficiency in Python, SQL, and Azure. Join Kroll to work on real systems with direct mentorship from experienced engineers and make a substantial impact on the firm's data initiatives.

Qualifications

• 3+ years of experience in data platform architecture, analytics, or AI/ML.
• Experience translating business requirements into technical design documents.
• Experience architecting and securing big data solutions.

Responsibilities

• Design and build organizational data infrastructure/architecture.
• Partner with leaders to translate strategic priorities into data architecture.
• Provide insights into changing database/datalake storage requirements.

Skills

Data platform architecture

Analytics

AI/ML

Python

SQL

Data governance

ETL

Tools

Azure

Databricks

Docker

Kubernetes

Job description

Overview

Kroll is a global leader in Risk and Financial Advisory services, operating at the intersection of data, technology, and complex decision-making. We are seeking a high‑performing Data Architect to help build and scale the data infrastructure that powers analytics, automation, and AI across the firm. This role is for candidates who want real engineering responsibility, not shadow work. You will design and implement production‑grade data pipelines, work with cloud‑native tooling, and partner with senior engineers and data scientists on systems that matter. At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.

Responsibilities

• Design and build organizational data infrastructure/architecture
• Partner with business leaders and domain owners to translate strategic priorities into data architecture capabilities
• Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions
• Establish standards for data platforms, integrations, analytics, and AI enablement
• Analyze database/datalake implementation methods to make sure they are in line with company policies and any external regulations that may apply
• Assist with organizational decisions on data infrastructure and architecture on an ongoing basis and make decisions on data strategy
• Act as a trusted advisor on how data architecture enables revenue, efficiency and risk reduction, and advise leadership on data investment decisions
• Oversee the migration of data from legacy systems to new solutions
• Apply architectural principles, product‑specific guidelines, security standards, usability design standards, as appropriate
• Influence decision‑making across multiple stakeholders and guide engineering teams in resolving complex technical challenges
• Drive expansion of analytics and AI services by embedding scalable design patterns into every engagement
• Contribute thought leadership, reusable assets, and frameworks to scale across the Data & AI practice

Requirements

• 3+ years of experience in data platform architecture, analytics, or AI/ML
• Experience translating business requirements into technical design documents
• Experience architecting and securing big data solutions
• Experience with Azure
• Experience with Python and SQL
• Understanding of data movement and ETL
• Understanding of data governance and metadata tools
• Excellent communication skills
• Ability to work with an international team

Desired Skills

• Experience building data lakes
• Experience building data products
• Team leadership and stakeholder management
• Understanding of Databricks, Docker, Kubernetes, or Azure Functions
• Strategic thinker and strong execution orientation
• Ability to work in cross‑functional teams
• Attention to detail and data quality

Why this role?

• Work on real systems in production, not toy problems
• Learn how enterprise‑scale data platforms are designed, operated, and evolved
• Direct mentorship from senior engineers and data leaders
• Meaningful impact on firm‑wide analytics and automation initiatives
• A high‑bar engineering environment focused on quality, scale, and long‑term thinking

Kroll is committed to equal opportunity and diversity, and recruits people based on merit.