Lead, Data Engineering and Architecture

Overview

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.

Your career with us should reflect your energy and passion. That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience. Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

Description

The Lead of Data Engineering & Architecture will lead the design, development, and evolution of the firm’s global data platforms, architecture, and engineering capabilities. This leader will be responsible for building a scalable, secure, and modern data ecosystem that supports fund accounting, investor services, regulatory reporting, risk management, and enterprise analytics.

Operating at the intersection of technology, operations, and data governance, this role will shape the firm’s long‑term data architecture strategy, modernize legacy environments, and enable advanced analytics and AI/ML across the organization. It is a high‑impact, global leadership position with significant visibility across executive stakeholders.

• Define and own the enterprise data architecture strategy, ensuring alignment with business priorities and regulatory requirements.
• Lead the modernization of legacy data environments toward cloud‑based, scalable, and resilient architectures.
• Establish architectural standards, patterns, and best practices across data engineering, integration, storage, and consumption layers.
• Partner with senior leadership to shape multi‑year data platform investment roadmaps.
• Oversee the design, build, and operation of enterprise data pipelines, data lakes, warehouses, and integration frameworks.
• Ensure data platforms support high‑volume, high‑complexity fund administration workflows, including NAV production, reconciliations, pricing, and client reporting.
• Implement robust data ingestion, transformation, and quality processes across structured and unstructured data sources.
• Drive adoption of modern engineering practices, including CI/CD, automation, and Infrastructure‑as‑Code.
• Lead the evolution of cloud data platforms (AWS, Azure, or GCP), ensuring scalability, security, and cost efficiency.
• Oversee API strategies, data integration patterns, and real‑time data streaming capabilities.
• Evaluate emerging technologies and incorporate them into the architecture where they add measurable value.
• Ensure platforms support advanced analytics, BI, and AI/ML initiatives.
• Partner with the Data Governance team to embed data standards, lineage, metadata management, and stewardship into engineering workflows.
• Ensure data platforms meet regulatory, audit, and operational risk requirements relevant to fund administration.
• Implement strong controls around data security, privacy, and access management.
• Build, lead, and mentor a high‑performing global team of data engineers, architects, and platform specialists.
• Foster a culture of engineering excellence, innovation, and continuous improvement.
• Collaborate closely with operations, product, risk, compliance, and analytics teams to ensure data solutions meet business needs.
• Act as a trusted advisor to senior stakeholders, translating technical concepts into business‑aligned strategies.

• 5+ years of experience in data engineering, data architecture, or platform engineering
• Proven track record designing and delivering enterprise‑scale data platforms in financial services; fund administration or asset servicing experience strongly preferred.
• Deep expertise in modern data architectures (cloud, data lakehouse, streaming,…