Director, Solutions Architect

General Atlantic is a leading global investor with more than four and a half decades of experience providing capital and strategic support for over 830 companies throughout its history. Established in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create long term value. Guided by the conviction that entrepreneurs can be incredible agents of transformational change, the firm combines a collaborative global approach, sector specific expertise, a long-term investment horizon, and a deep understanding of growth drivers to partner with and scale innovative businesses around the world.

The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Credit, Climate, and Sustainable Infrastructure strategies. General Atlantic manages approximately $118 billion in assets under management, inclusive of all strategies, as of September 30, 2025, with more than 900 professionals in 20 countries across five regions. For more information on General Atlantic, please visit:

General Atlantic is looking to hire an experienced Data Solutions Architect with demonstrated expertise in designing, implementing, and managing technology solutions within the financial services sector. This hands‑on architect will play a critical role in shaping our technology landscape, working closely with investment, operations, and portfolio management teams to deliver scalable, secure, and innovative solutions that accelerate value creation and operational excellence across the firm and our portfolio companies.

• Design and architect end‑to‑end technology and data solutions that align with business objectives and drive operational efficiency across the firm and portfolio companies
• Partner with stakeholders across investment, finance, legal, and operations to translate business needs—including ambiguous requirements—into scalable technical architectures
• Define the firm’s enterprise and data architecture strategy, including canonical data models, integration patterns, and analytics‑ready platforms
• Lead the evaluation, selection, and integration of third‑party platforms and technologies (CRM, ERP, cloud, data, security)
• Architect and oversee end‑to‑end data solutions spanning ingestion, transformation, storage, and reporting across complex, multi‑source environments
• Design scalable data pipelines leveraging modern ETL/ELT frameworks, distributed processing, cloud‑native services and other SaaS platforms
• Lead the design and implementation of Azure‑based data solutions, including data lakes, lakehouse architectures, and analytics platforms
• Establish best practices for data modeling, metadata management, data quality, lineage, security, and performance optimization
• Drive integration across disparate internal and external systems using MDM and data orchestration tools to ensure a consistent, trusted source of data
• Mentor and guide internal teams, collaborate with vendors and consultants, and stay current on emerging technologies and industry trends

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
• 10+ years of experience in solutions architecture, systems integration, and IT strategy, preferably within private equity, investment management, or broader financial services
• Proven track record delivering complex technology solutions in a multi‑stakeholder, fast‑paced environment
• Deep knowledge of enterprise systems (CRM, ERP, data analytics, cloud platforms, cybersecurity frameworks, etc.)
• Experience supporting digital transformation and business process automation initiatives
• Exceptional communication, presentation, and stakeholder management skills
• Deep expertise in data architecture, data modeling, and enterprise data integration within complex, heterogeneous system landscapes
• Hands‑on experience designing and delivering cloud‑native data platforms on Azure
• Strong understanding of modern ETL/ELT patterns, MDM concepts, and data governance frameworks
• Proven ability to operate effectively…