[Hiring] Senior Data Architect @Leo Berwick

Role Description

We build data and AI solutions that drive real business outcomes for private equity portfolio companies. We're looking for a Senior Data Architect who can set the data architecture vision, stay hands-on through implementation, and grow a high-performing team around them.

We’re hiring a Senior Data Architect to design, build, and scale modern data platforms in PE-backed environments — this is a senior, hands-on leadership role. You'll own the data architecture (platforms, integration, modeling, and governance) that powers analytics and AI, from the first whiteboard session with a client through deployment and adoption.

You'll work with data engineers, business analysts, and data visualization specialists, and have influence over who joins that team. You'll also have the flexibility to lean into other areas of the firm as we grow, including business development, commercial strategy, and internal AI enablement initiatives.

If you want a role where you can build something, this is a high-impact seat.

Qualifications

• You want to help build and shape practice offerings, not just deliver within an existing playbook.
• You want equity participation tied to the value you create.
• You thrive with direct access to leadership and want accelerated career growth.
• You’re energized by breadth: working across industries, deal stages, and problem types alongside C-suite portco leaders and PE sponsors.

Requirements

• Define target-state data architectures and deliver scalable, pragmatic data platforms that support analytics and AI.
• Lead delivery across the full project lifecycle, including discovery, design, development, testing & validation, deployment, hypercare, and monitoring & observability.
• Design and build enterprise data models (conceptual, logical, and physical) that are clean, well-documented, and represent the business.
• Lead a cross-functional team of data engineers, analysts, and visualization specialists.
• Mentor data engineers, analysts, and specialists, and set architecture, modeling, and engineering standards.
• Translate complex technical concepts for non-technical clients and stakeholders.
• Build the data foundations (quality, governance, lineage, and access) that make AI use cases viable, with a clear view on where AI creates real value and how to scale repeatable solutions.
• Stay hands-on: build pipelines and transformations, write SQL and Python, configure platforms, and review the team's code.
• Present architectural recommendations and roadmaps to client leadership, including CIOs, CTOs, and PE deal teams, and participate in steering committees throughout engagements.
• Contribute to firm-wide commercial and strategic initiatives, including reusable reference architectures and delivery accelerators.

Benefits

• This role is eligible for comprehensive health benefits.
• Attractive medical and dental insurance.
• Paid time off.