Senior Data & AI Architect, Data and AI Advisory

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $210k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Leo Berwick

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

💰 $75M Debt Financing - Leo Berwick on 2025-07

Consulting

Leo Berwick is a pure-play M&A advisory firm that provides tax, accounting and transaction advisory services to investors and corporate clients. The firm’s US and Canadian professionals work with infrastructure funds, private equity houses, portfolio companies, pension funds and corporate investors on buy-side and sell-side deals, integration & separation, modeling, tax, valuation, insurance and public–private partnership (P3) matters. Leo Berwick supports transactions across infrastructure, renewables, real estate, technology, telecommunications, healthcare, manufacturing and other sectors, and coordinates with a global alliance for deals outside North America.

📋 Description

• Define target-state data architectures and deliver scalable data platforms supporting analytics and AI • Lead delivery across discovery, design, development, testing and validation, deployment, hypercare, and monitoring and observability • Design and build conceptual, logical, and physical enterprise data models • Lead a cross-functional team of data engineers, analysts, and visualization specialists • Mentor technical team members and establish architecture, modeling, and engineering standards • Translate complex technical concepts for non-technical clients and stakeholders • Build data quality, governance, lineage, and access foundations for AI use cases • Build pipelines and transformations, write SQL and Python, configure platforms, and review code • Present architectural recommendations and roadmaps to CIOs, CTOs, PE deal teams, and client leadership • Participate in steering committees throughout engagements • Contribute to firm-wide commercial and strategic initiatives, including reusable reference architectures and delivery accelerators

🎯 Requirements

• 8+ years in data engineering or architecture, including 3+ years in an architect or technical lead role • Deep expertise in data architecture and modeling, including dimensional, Data Vault, and lakehouse/medallion approaches • Expertise in data governance and ability to drive adoption with clients • Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, and dbt • Familiarity with applied AI use cases such as RAG and agent workflows • Experience leading and developing technical teams • Production-grade SQL and Python experience • Experience building data pipelines at scale • Genuine curiosity about AI and strong judgment on where it applies

🏖️ Benefits

• Bonus eligibility • Comprehensive health benefits • Medical insurance • Dental insurance • Paid time off • Equity participation tied to the value created

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