FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Your Team's Impact

FactSet is looking for an experienced Principal Software Architect to join our Data Solutions organization to help shape and drive the technical vision for our expanding Data Platform. This role will provide architectural leadership across our infrastructure teams working on storage and access, transparency and orchestration, and data collection and acquisition tooling.

The Data Platform is the foundation of FactSet's data offerings, serving critical data products to clients and internal consumers at scale. Our architecture spans modern cloud-based infrastructure, data lakehouse technologies, and orchestration frameworks that power thousands of data pipelines. As we evolve our platform to meet growing demands and embrace AI-driven capabilities, we need architectural leadership to ensure cohesion, scalability, and alignment with enterprise strategy.

We need a Principal Software Architect who brings deep data engineering expertise and a track record of designing large-scale data platforms. You will be responsible for developing and maintaining our future state architecture, providing technical guidance on strategic initiatives,



and ensuring our platform leverages best-in-class patterns and technologies. This role requires both strategic thinking and hands-on technical depth, with the ability to influence execution teams while maintaining alignment with enterprise architecture.

Architecture duties include future state design, technical strategy development, architectural decision support for execution teams, ADR development and governance, technical mentorship, and cross-organizational collaboration.

What You'll Do

- Collaborate with fellow architects across Commercial Data to develop, document, and maintain our future state architecture for the data platform.
- Provide technical guidance and architectural oversight for key strategic initiatives across storage and access, orchestration, and data acquisition domains.
- Partner with execution teams to provide architectural support, bridging the gap between strategy and implementation where teams need guidance.
- Work closely with Enterprise Architecture to ensure Commercial Data's technical strategy aligns with FactSet's broader architectural vision and standards.
- Lead the development and review of Architecture Decision Records (ADRs) across the organization, establishing patterns and standards for technical decision-making.
- Champion the growth of technical talent by advocating for individual engineers, identifying skill gaps, and bringing outside expertise to elevate team capabilities.




- Stay current with industry trends in data engineering, data lakehouse architectures, orchestration, and AI/ML technologies, bringing relevant innovations to FactSet.
- Drive the architectural vision for an AI-driven future for data access at FactSet, incorporating LLMs and generative AI into our data platform capabilities.
- Establish and promote architectural patterns for data governance, metadata management, and semantic layers across the Commercial Data platform.
- Lead technical design reviews and provide mentorship to senior engineers and technical leads across multiple teams.
- Influence technology selection decisions and evaluation of recent tools and platforms that align with our strategic direction.
- Foster a culture of technical excellence, encouraging teams to balance innovation with pragmatic, maintainable solutions.

What We're Looking For

Required

- 10+ years of software engineering experience with deep expertise in data engineering, data platforms, and data infrastructure.
- Proven track record as a software architect or principal engineer designing large-scale data systems and platforms.
- Extensive hands-on experience with ETL/ELT systems, data pipeline orchestration tools (Apache Airflow, Prefect, Dagster, or similar).
- Strong experience with cloud infrastructure, particularly AWS services (S3, Glue, EMR, Lambda, Step Functions, EventBridge, etc.).
- Deep understanding of data lakehouse architectures and experience with platforms like Databricks or Snowflake.
- Proficiency in Python and relevant data engineering libraries for building production data systems.
- Demonstrated ability to develop and communicate architectural vision and translate strategy into actionable technical roadmaps.
- Exp

📌 Principal Software Architect (Hyderabad)
🏢 FactSet Research Systems
📍 Hyderabad