FactSet

Software Engineer

Software EngineerPrincipal Software ArchitectVery High

FactSet is seeking a Principal Software Architect with a strong background in designing and implementing complex, scalable, and robust software solutions. This role requires deep technical expertise, leadership capabilities, and a proven track record of mentoring engineering teams. The interview process is designed to assess your architectural vision, problem-solving skills, and ability to drive technical strategy.

Rounds

4

Timeline

~14 days

Experience

10 - 15 yrs

Salary Range

US$180000 - US$250000

Total Duration

210 min

Overall Evaluation Criteria

Technical and Leadership Assessment

Technical depth and breadth in software architecture.
Problem-solving and analytical skills.
Leadership and mentorship potential.
Communication and interpersonal skills.
Strategic thinking and business acumen.
Cultural fit and alignment with FactSet values.

Architectural Design and Execution

Ability to design scalable, reliable, and maintainable systems.
Understanding of various architectural patterns and their trade-offs.
Proficiency in cloud technologies and modern development practices.
Experience with performance optimization and security best practices.
Ability to articulate technical vision and influence technical direction.

Leadership and Collaboration

Demonstrated ability to lead and mentor engineering teams.
Experience in driving technical initiatives and fostering collaboration.
Capacity to manage technical debt and make pragmatic decisions.
Effective communication with stakeholders at all levels.

Preparation Tips

1Thoroughly review FactSet's products and services to understand our business context.
2Brush up on core computer science fundamentals, data structures, and algorithms.
3Deep dive into system design principles, distributed systems, and cloud architecture (AWS, Azure, GCP).
4Prepare to discuss your experience with various programming languages and technologies relevant to FactSet's stack.
5Practice articulating your thought process and decision-making for complex technical challenges.
6Review common behavioral interview questions and prepare STAR method responses.
7Familiarize yourself with architectural patterns like microservices, event-driven architecture, and domain-driven design.
8Understand concepts related to scalability, performance, security, and reliability.
9Prepare questions to ask the interviewers about the role, team, and company culture.

Study Plan

1

Foundational Knowledge

Weeks 1-2: CS Fundamentals, DS&A, Design Patterns, OS, Networking.

Weeks 1-2: Focus on foundational computer science concepts, data structures, and algorithms. Review common design patterns and object-oriented principles. Understand the basics of operating systems and networking.

2

System Design and Architecture

Weeks 3-5: System Design, Distributed Systems, Cloud Architecture, Databases, Caching.

Weeks 3-5: Deep dive into system design principles. Study distributed systems, microservices architecture, message queues, databases (SQL/NoSQL), caching strategies, and API design. Explore cloud computing platforms (AWS/Azure/GCP) and their services.

3

Scalability and Operations

Weeks 6-7: Scalability, Performance, Security, Reliability, Monitoring.

Weeks 6-7: Focus on scalability, performance optimization, security, and reliability. Understand concepts like load balancing, fault tolerance, disaster recovery, monitoring, and logging. Review common security vulnerabilities and mitigation strategies.

4

Behavioral and Leadership Preparation

Weeks 8-9: Behavioral Questions, Leadership, STAR Method, Career Reflection.

Weeks 8-9: Prepare for behavioral and leadership questions. Practice using the STAR method to articulate your experiences in problem-solving, teamwork, conflict resolution, and leadership. Reflect on your career achievements and how they align with the Principal Architect role.

5

Final Preparation

Week 10: Mock Interviews, Final Review, Question Preparation.

Week 10: Mock interviews and final review. Conduct mock interviews focusing on system design and behavioral questions. Review all prepared materials and refine your answers. Prepare insightful questions to ask the interviewers.

Commonly Asked Questions

Design a real-time analytics platform for financial market data.
How would you architect a system to handle millions of concurrent users for a trading application?
Describe a challenging architectural decision you made and the trade-offs involved.
How do you ensure code quality and maintainability in a large, distributed system?
What is your approach to managing technical debt?
How would you design a system for secure and efficient data sharing between multiple financial institutions?
Discuss your experience with CI/CD pipelines and infrastructure as code.
How do you mentor and grow engineering talent within a team?
What are the key considerations when migrating a monolithic application to microservices?
How do you handle failure scenarios in a distributed system?

Location-Based Differences

New York

Interview Focus

Deep dive into distributed systems design and trade-offs.Assessment of leadership and mentorship capabilities.Evaluation of strategic thinking and long-term technical vision.Understanding of operational excellence and site reliability engineering (SRE) principles.

Common Questions

Discuss a time you had to make a significant architectural decision with incomplete information. How did you approach it?

How do you balance technical debt with the need for rapid feature delivery?

Describe your experience with cloud-native architectures and microservices. What are the key challenges and best practices?

How do you ensure the security and compliance of a large-scale system?

What are your strategies for mentoring and developing junior engineers into strong technical leaders?

Tips

Be prepared to discuss specific examples of complex systems you've designed and their impact.
Articulate your thought process clearly, especially when discussing trade-offs.
Demonstrate a proactive approach to identifying and mitigating risks.
Showcase your ability to influence and guide technical direction across teams.

London

Interview Focus

Emphasis on system resilience and fault tolerance.Evaluation of experience with large-scale data processing and analytics.Assessment of ability to drive technical consensus and overcome organizational challenges.Understanding of performance optimization techniques.

Common Questions

How do you approach designing for high availability and disaster recovery?

Describe a situation where you had to refactor a legacy system. What was your strategy and what were the outcomes?

What are your thoughts on event-driven architectures versus request-response models?

How do you stay current with emerging technologies and evaluate their potential impact on our business?

How do you foster a culture of innovation and continuous improvement within an engineering team?

Tips

Highlight your experience with performance tuning and scalability challenges.
Be ready to discuss your approach to managing technical roadmaps.
Emphasize your ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Prepare to share examples of how you've driven significant technical improvements.

Process Timeline

1
System Architecture Design60m
2
Core Technical Skills60m
3
Leadership and Behavioral Assessment45m
4
Executive Vision and Strategy45m

Interview Rounds

4-step process with detailed breakdown for each round

1

System Architecture Design

Design a complex software system, discussing architecture, technologies, and trade-offs.

System Design InterviewVery High
60 minSenior Engineering Manager / Director of Engineering

This round focuses on your ability to design and architect complex software systems. You will be presented with a high-level problem statement and expected to design a complete solution, discussing various components, technologies, trade-offs, and scalability considerations. The interviewer will probe into your design choices and challenge your assumptions.

What Interviewers Look For

A candidate who can design robust, scalable, and maintainable systems.Someone who can articulate technical trade-offs and justify their decisions.A leader who can guide technical direction and mentor others.An individual with a strong understanding of modern technology stacks and best practices.

Evaluation Criteria

Depth of knowledge in software architecture and design patterns.
Ability to think critically and solve complex problems.
Clarity and structure in communication.
Understanding of distributed systems concepts.
Pragmatism in decision-making.

Questions Asked

Design a distributed caching system.

System DesignDistributed SystemsScalability

How would you design a notification service for millions of users?

System DesignScalabilityMessaging

Preparation Tips

1Practice system design problems extensively.
2Be prepared to draw diagrams and explain your design verbally.
3Think about scalability, reliability, availability, and maintainability.
4Consider different technology choices and their pros/cons.
5Be ready to discuss your past architectural experiences.

Common Reasons for Rejection

Inability to articulate technical vision clearly.
Lack of depth in system design principles.
Poor understanding of trade-offs in architectural decisions.
Failure to demonstrate leadership potential.
Inability to handle complex problem-solving scenarios.
2

Core Technical Skills

Solve coding problems focusing on data structures, algorithms, and efficiency.

Technical Coding InterviewHigh
60 minSenior Software Engineer / Tech Lead

This round assesses your fundamental technical skills, including data structures, algorithms, and coding proficiency. You will be asked to solve coding problems, explain your approach, and discuss the time and space complexity of your solutions. Expect questions that test your understanding of core computer science principles and your ability to apply them.

What Interviewers Look For

A candidate with strong coding skills and a solid understanding of computer science fundamentals.Someone who can translate requirements into efficient code.An individual who can debug and troubleshoot effectively.A candidate who demonstrates a passion for technology and continuous learning.

Evaluation Criteria

Proficiency in core programming languages and data structures.
Understanding of algorithms and their complexity.
Problem-solving skills and logical thinking.
Ability to write clean, efficient, and maintainable code.
Familiarity with relevant technologies (e.g., databases, APIs, cloud services).

Questions Asked

Implement a function to find the k-th largest element in an unsorted array.

Data StructuresAlgorithmsArraysSorting

Given a binary tree, find the lowest common ancestor of two given nodes.

Data StructuresAlgorithmsTreesRecursion

Preparation Tips

1Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
2Review common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming).
3Understand Big O notation for analyzing algorithm efficiency.
4Be prepared to explain your code and thought process clearly.
5Practice coding in a collaborative environment (e.g., using a shared editor).

Common Reasons for Rejection

Lack of depth in specific technical areas.
Inability to explain complex technical concepts clearly.
Poor problem-solving approach.
Not demonstrating sufficient experience with relevant technologies.
Difficulty in adapting to new technical challenges.
3

Leadership and Behavioral Assessment

Assess leadership, teamwork, and behavioral fit through past experiences.

Behavioral And Leadership InterviewHigh
45 minHiring Manager / Senior Engineering Leader

This round focuses on your leadership, teamwork, and behavioral aspects. You'll be asked questions about your past experiences, how you handle challenges, manage teams, resolve conflicts, and contribute to a positive work environment. The interviewer aims to understand your leadership style and how you would fit into the FactSet culture.

What Interviewers Look For

A candidate who can lead and inspire engineering teams.Someone who can collaborate effectively across different functions.An individual who demonstrates strong communication and interpersonal skills.A person who aligns with FactSet's culture and values.

Evaluation Criteria

Leadership and team management capabilities.
Communication and interpersonal skills.
Problem-solving and decision-making in a team context.
Cultural fit and alignment with FactSet's values.
Motivation and career aspirations.

Questions Asked

Tell me about a time you had to lead a team through a difficult technical challenge.

BehavioralLeadershipProblem Solving

How do you handle disagreements within your team?

BehavioralTeamworkConflict Resolution

Preparation Tips

1Prepare examples using the STAR method (Situation, Task, Action, Result) for common behavioral questions.
2Reflect on your leadership experiences, including mentoring, conflict resolution, and project management.
3Be ready to discuss your strengths and weaknesses.
4Showcase your passion for technology and your desire to contribute to FactSet's success.
5Research FactSet's company culture and values.

Common Reasons for Rejection

Poor communication skills.
Inability to articulate past experiences effectively.
Lack of leadership or mentorship examples.
Not demonstrating cultural fit or alignment with company values.
Negative attitude or lack of enthusiasm.
4

Executive Vision and Strategy

Discuss strategic thinking, business alignment, and long-term technical vision with senior leadership.

Executive / Strategic InterviewHigh
45 minVP of Engineering / CTO

This final round is with senior leadership, often the VP of Engineering or CTO. The discussion will be high-level, focusing on your strategic thinking, business acumen, and how you envision contributing to FactSet's long-term technical vision. You'll have the opportunity to ask strategic questions about the company's direction.

What Interviewers Look For

A strategic thinker who can influence the company's technical direction.Someone who understands the business impact of technology decisions.A candidate who can operate at a senior level and contribute to high-level strategy.An individual who embodies FactSet's values and contributes to its success.

Evaluation Criteria

Strategic thinking and business acumen.
Ability to align technical strategy with business objectives.
Understanding of the financial services industry.
Executive presence and communication.
Overall fit for the Principal Architect role.

Questions Asked

What are the biggest technological challenges facing the financial services industry today, and how should FactSet address them?

StrategyBusiness AcumenIndustry Trends

How would you foster innovation within a large engineering organization?

LeadershipInnovationStrategy

Preparation Tips

1Understand FactSet's business model, market position, and strategic goals.
2Think about how technology can drive business value.
3Prepare to discuss your vision for the future of software architecture.
4Be ready to articulate your leadership philosophy at an executive level.
5Have thoughtful questions prepared for senior leadership.

Common Reasons for Rejection

Lack of strategic vision.
Inability to connect technical solutions to business goals.
Poor understanding of the company's market and challenges.
Failure to demonstrate executive presence.
Unrealistic expectations regarding role or compensation.

Commonly Asked DSA Questions

Frequently asked coding questions at FactSet

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