Job Description

Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation, and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

We are seeking a Technical Lead to provide hands-on technical leadership across application development and NET-based data platform solutions This role blends deep engineering expertise with practical people leadership, guiding a team while remaining actively involved in design, coding, and delivery.

The Technical Lead will work closely with Product, QA, DevOps, and Developers to build scalable, secure, and maintainable enterprise applications, while reinforcing engineering best practices and supporting team growth.

This is a hands-on leadership role, not an architecture-only or people-manager-only position.

Key Responsibilities

Technical Leadership & Development

• Lead the design, development, and deployment of enterprise-grade applications, services and data platforms using NET
• Apply strong Object-Oriented Programming (OOP) principles to ensure modular, testable, and maintainable solutions
• Contribute directly to coding, debugging, performance optimization, and complex problem-solving
• Guide implementation of APIs, microservices, and data integrations across systems
• Support development of data-driven components, including analytics, reporting, or ML-enabled features as needed

Team Leadership & Delivery

• Mentor and guide engineers through code reviews, technical coaching, and day-to-day problem solving
• Support sprint planning, backlog refinement, and capacity alignment in partnership with delivery leadership
• Ensure adherence to coding standards, CI/CD practices, testing frameworks, and secure coding guidelines
• Promote a culture of accountability, collaboration, and continuous improvement

Cross-Functional Collaboration

• Work closely with Product, QA, DevOps, Data Science, and Infrastructure teams to deliver high-quality solutions
• Translate functional requirements into technical designs and implementation plans
• Communicate technical concepts clearly to both technical and non-technical stakeholders

Quality, Standards & Continuous Improvement

• Champion best practices in:
  • Automated testing and code quality
  • Performance tuning and observability
  • Version control and deployment pipelines
• Stay current with evolving technologies in NET, cloud platforms, and modern data ecosystems
• Contribute to improvements in development processes, tooling, and team efficiency

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline
• 8–12 years of professional software engineering experience, with experience in a hands-on Technical Lead or Senior Engineer role
• Prior supervisory or team-lead responsibility
• Strong hands-on experience with:
  • NET Core / .NET 6+, C#, and related frameworks
  • Object-Oriented Programming (OOP), service-oriented architecture, and scalable application design
• Experience designing and delivering scalable, production-grade systems
• Working knowledge of:
  • SQL and NoSQL databases (e.g., PostgreSQL, SQL Server, MongoDB)
  • APIs, RESTful services, and distributed systems
• Exposure to cloud platforms (Azure preferred; AWS/GCP acceptable)
• Experience working in Agile development environments
• Strong communication skills with the ability to collaborate across teams

Good-to-Have / Preferred Qualifications

• Experience with:
  • Containerization tools (Docker)
  • Microservices architecture
  • CI/CD pipelines and DevOps practices
• Exposure to:
  • Data analytics, visualization, or reporting frameworks
  • Basic machine learning or statistical modeling concepts
• Familiarity with domains such as market research, analytics platforms, or data-intensive applications

Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent.co/careers-and-culture/