Director, Solutions Architect

Confirmed live in the last 24 hours

General Atlantic

New York - Park Avenue

On-site

Posted January 15, 2026

Job Description

About General Atlantic

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 $123 billion in assets under management, inclusive of all strategies, as of December 31, 2025, with more than 900 professionals in 20 countries across five regions. For more information on General Atlantic, please visit: www.generalatlantic.com.

Position Summary

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.

Responsibilities

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

Qualifications

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