AI & Data Architect

Position Summary

The Senior Data Architect sits within Carlyle’s Enterprise Technology & Data organization and supports firm‑wide data initiatives spanning investment platforms, portfolio operations, investor relations, and corporate functions. The role operates in a federated data model, partnering with domain teams while establishing shared architectural standards and platforms. The Senior Data Architect is a senior technical leader and trusted lieutenant to the Head of Data Transformation, serving as the primary go‑to expert for enterprise data architecture and modern data platform design. This role is responsible for designing, evolving, and governing Carlyle’s modern, AI‑ready data architecture, ensuring that data is trusted, scalable, interoperable, and fit for advanced analytics and machine learning use cases. The Senior Data Architect translates enterprise data strategy into executable technical designs and acts as a critical bridge between strategy, engineering execution, and business value. The role combines deep hands‑on architectural expertise with strong influence, operating across teams to ensure consistency, quality, and long‑term sustainability of Carlyle’s data ecosystem. In-Office Requirement: 4 days per week

Responsibilities

• Act as the senior technical authority for enterprise data architecture, partnering closely with the Head of Data Transformation to shape and execute Carlyle’s data strategy.
• Define target‑state architectures for data ingestion, transformation, storage, semantic layers, and consumption across federated domains.
• Establish and enforce architectural standards for scalability, performance, security, resiliency, and cost efficiency.
• Architect and guide the implementation of modern data pipelines using tools such as dbt, Fivetran, Apache Iceberg, Snowflake, and Databricks.
• Design ELT and streaming patterns that are testable, observable, and resilient.
• Define data modeling standards (analytical, dimensional, and semantic) that enable trusted self‑service analytics.
• Partner with data engineering teams to ensure consistent application of patterns and reuse of shared platform capabilities.

AI‑Ready & Semantic Data Foundations (~20%)

• Design AI‑ready data foundations, including semantic layers, contextual metadata, and reusable data contracts.
• Enable machine learning and generative AI by ensuring data is well‑modeled, discoverable, governed, and explainable.
• Collaborate with Data Science and Analytics teams to support feature stores, experimentation environments, and reusable data products.
• Advance semantic modeling and context engineering to enable natural‑language analytics and AI‑driven insights.

Data Governance, Quality & Trust (~10%)

• Partner with Data Governance to define standards for data quality, metadata management, lineage, and stewardship.
• Ensure architectural designs support regulatory and compliance requirements (e.g., SOX, SEC, FINRA, GDPR, DORA).
• Promote reuse, interoperability, and consistent definitions of critical enterprise data.

Technical Leadership & Mentorship (~5%)

• Serve as a senior technical mentor to data engineers and analysts.
• Lead architectural design reviews and provide guidance on complex initiatives.
• Influence technical decisions across a matrixed, federated organization without direct authority.

Qualifications

Education & Certificates

• Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related fields.
• Cloud or data architecture certifications (AWS, data management, analytics) preferred.

Professional Experience

• 10+ years of experience in data architecture, data engineering, or enterprise analytics.
• Proven experience designing and operating modern, cloud‑native data platforms.
• Hands‑on expertise with AWS‑based data ecosystems and modern analytics stacks.
• Strong experience building data platforms that support AI, machine learning, and advanced analytics.
• Experience operating in federated data models and complex enterprise environments.
• Deep technical fluency combined with strong business acumen.
• Ability to translate strategy into executable architectural designs.
• Pragmatic, delivery‑oriented mindset with strong attention to data quality and sustainability.
• Collaborative, trusted partner to senior leaders and technical teams.

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $200,000 to $210,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

Company Information

The Carlyle Group (NASDAQ: CG) is a global investment firm with $477 billion of assets under management, across 678 investment vehicles as of December 31, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world\’s largest and most successful investment firms, with more than 2,500 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia.

Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments – Global Private Equity, Global Credit and Carlyle AlpInvest – and has deep expertise across industries, markets, and geographies.

At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.