Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!

Core Responsibilities

• Design, develop, and maintain data pipelines to support ETL processes.
• Ensure data quality and integrity across various data sources and systems.
• Collaborate with cross-functional teams to identify data requirements and create data models.
• Utilize big data technologies for large-scale data processing.
• Monitor and troubleshoot performance issues related to data processes.
• Stay updated on the latest technologies and best practices within the data engineering field.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

We are seeking a highly skilled Technical Solution Architect specializing in Data & AI Presales to join our team. The ideal candidate will have extensive experience with Microsoft Data and AI tools, and will be responsible for creating and demonstrating solutions, as well as building strong relationships with customers and prospects.

As a Data and AI Technical Presales Architect you can expect to…

• Understand customer challenges and requirement around Data & AI
• Design and architect data and AI solutions that meet business and IT needs.
• Conduct Data & AI assessments, Interview Business and IT teams
• Conduct Discovery Workshops for Data Engineering, Analytics, Data Integrations, AI and Business use cases.
• Create data and analytics roadmaps, drive hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs).
• Ensure long-term technical viability of new deployments, infusing key AI technologies where appropriate.
• Conduct technical presentations and demonstrations to customers.
• Collaborate with various departments to ensure seamless integration of solutions.
• Provide technical consultancy and advisory services to customers.
• Build and maintain strong relationships with customers to understand their needs and provide tailored solutions.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities

The key focus for the senior data architect is to perform planning aligned to key data solutions, build and participate the architecture capability building, performdata architecture and design, manage data architecture risk and compliance, provide design and build governance and support and communicate and share knowledge around the architecture practices, guardrails, blueprints and standards related to the data solution design.

DESCRIBE THE MAIN ACTIVITIES OF THE JOB (DESCRIPTION)

Planning

• Lead data solution requirements gathering and ensure alignment with business objectives and constraints.
• Define and refine data architecture runways for intentional architecture with the key stakeholders
• Provide input into business cases and costing
• Participate and provide data architectural runway requirements into Programme Increment (PI) Planning

Architecture Capability

Senior Solution Data Architect –

Techno-Functional Experience: 12–15+ years, Deep expertise in Snowflake architecture and performance optimization, Strong hands-on experience with Denodo Data Virtualization Platform, Techno-functional mindset: adept at requirements gathering, stakeholder communication, and translating needs into actionable technical solutions, Proficient in SQL, scripting languages, data modeling, and ETL pipelines, Experience in Agile/Scrum delivery environments,

Demonstrated leadership in cross-functional teams, SnowPro or Denodo certifications, Experience with BI tools, API integration, and secure data sharing, Exposure to data mesh or modern data architecture concepts?

Requirements

Techno-Functional Experience: 12–15+ years, Deep expertise in Snowflake architecture and performance optimization, Strong hands-on experience with Denodo Data Virtualization Platform, Techno-functional mindset: adept at requirements gathering, stakeholder communication, and translating needs into actionable technical solutions, Proficient in SQL, scripting languages, data modeling, and ETL pipelines, Experience in Agile/Scrum delivery environments,

Urgent requirement

Location - South Africa

Senior Solution Data Architect – Techno-Functional Experience: 12–15+ years, Deep expertise in Snowflake architecture and performance optimization, Strong hands-on experience with Denodo Data Virtualization Platform, Techno-functional mindset: adept at requirements gathering, stakeholder communication, and translating needs into actionable technical solutions, Proficient in SQL, scripting languages, data modeling, and ETL pipelines, Experience in Agile/Scrum delivery environments,

Demonstrated leadership in cross-functional teams, SnowPro or Denodo certifications, Experience with BI tools, API integration, and secure data sharing, Exposure to data mesh or modern data architecture concepts?

Please share your resume

sonia.sharma@infystrat.com

InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.