Lead Data & AI Platform Engineer

About the Opportunity

We are partnering with a
global investment firm
undergoing a major build-out of its
data and AI infrastructure
.

The organization is investing heavily in a
firm-wide data platform
to power:

• Investment research and diligence
• Portfolio intelligence
• Client reporting and narrative generation
• Secure, governed AI workflows

This is a
foundational, high-impact role
within a small engineering team, offering the opportunity to shape how data and AI are leveraged across the entire investment lifecycle.

The Role

This role combines
architectural ownership with hands-on engineering
, focused on building scalable, AI-ready data systems from the ground up.

You will work closely with senior technical leadership and business stakeholders to translate complex workflows into production-grade platforms.

Key Responsibilities

- Design and maintain a
modern lakehouse architecture
(Bronze / Silver / Gold layers)
- Build scalable
data ingestion and transformation pipelines
- Structure data for
AI-enabled retrieval, indexing, and analytics
- Implement
data governance, lineage, and access control frameworks
- Partner directly with business stakeholders to translate requirements into technical solutions

Ideal Candidate Profile

- 7–10+ years of experience in
data engineering or platform engineering
- Proven experience building
data platforms from scratch
- Strong experience with
cloud platforms
(Azure preferred; AWS/GCP also considered)
- Deep experience with
distributed data processing frameworks
- Strong
Python
proficiency
- Experience implementing
production-grade governance and access controls
- Ability to work cross-functionally and communicate with non-technical stakeholders

Preferred Experience

- Experience deploying
LLM-enabled or retrieval-based systems
- Familiarity with
vector search, embeddings, or RAG architectures
- Background in
financial services or regulated environments
- Experience mentoring or guiding junior engineers
- Exposure to
AI orchestration or multi-model systems

Why This Role

- Build
greenfield data and AI infrastructure
at an institutional level
- Direct impact on
firm-wide intelligence and decision-making systems
- Operate across both
strategy and hands-on execution
- Join a
lean, high-caliber engineering team
with significant ownership