Lead Solutions Engineer at Dalberg

ABOUT THE ROLE

As a Technical Lead / Solution Architect, you will play an essential role in identifying our clients' problems, engineering solutions for them, and overseeing the technical execution of our team. You will engage closely with internal and external stakeholders to understand their challenges, needs, and objectives and help translate these into opportunities and feature requirements while addressing the digital divide between the global north and south. On the technical side, you will work closely with our CTO to manage the technical team and act out Business Development opportunities outside the project context. You will lead the technical development and its alignment with the project's requirements. 

Key Responsibilities

• Technical Expertise: Provide hands-on expertise and deep intuition through the entire technical stack.
• Team Mentorship: Mentor and coach team members to foster professional growth and skill development. Conduct code reviews and provide constructive feedback. Promote a culture of excellence, collaboration, and continuous improvement.
• Project Leadership: Manage technical teams to deliver projects on time and within scope. Resolve team blockers, speed up the development process, introduce swinging changes to the code base, and ensure the quality and sustainability of the technical solution delivered.
• Thought Leadership: Write technical thought leadership pieces internally and externally. Participate in industry events to enhance the company’s profile. Push other people’s thinking and foster an internal culture of innovation.
• Internal and External Stakeholder Engagement: Collaborate with clients to understand their needs and translate them into technical solutions. Effectively present complex technical concepts to non-technical stakeholders.
• Solution Architecture: Design scalable and efficient architectures that meet client requirements. Evaluate and recommend technologies and tools to enhance project outcomes. Develop technical specifications and documentation.
• Business Development: Contribute significantly and lead technical sections of proposals bids. Identify the feasibility of new service offerings and opportunities. Identify clients’ business problems and drive our understanding of the problem statement and possible solution approaches.

Essential Qualifications and Skills

Anyone fulfilling the essential qualifications is encouraged to apply. 

• Master’s or Bachelor’s Degree in Technical, Statistical, or other relevant science field.
• Our technical stack includes Python, SQL, Java, Type/JavaScript, tools, and frameworks like React, FastAPI, LangChain, Axios, and many others. 
• Technical Expertise: Demonstrated expertise in Data Engineering, Science, and Web Development stacks, as shown by 5 years of experience in the technical field focusing on leading teams in full-stack, data, or GenAI development.
• Team Mentorship: Proven experience in leadership roles managing technical teams.
• Project Leadership: Experience with Agile/Kanban frameworks to ensure iterative delivery and alignment with client feedback.
• Thought Leadership: Excellent verbal and written communication skills, with the ability to convey complex ideas in a clear and accessible manner. An innovative approach to problem-solving and the ability to express it in simple language.
• Internal and External Stakeholder Engagement: Ability to navigate and coordinate between multiple stakeholders, balancing business needs with technical feasibility.
• Solution Architecture: Proven ability to understand client challenges, suggest and communicate solutions, and see them to production. A proactive approach to identifying potential bottlenecks and addressing product development and delivery challenges. Strong analytical skills.

Desirable Qualifications and Skills

We do not expect candidates to meet all desired qualifications. 

• Experience in Development Contexts: Previous experience working in or with development organizations or LMICs.
• AI & Machine Learning: Familiarity with GenAI, machine learning algorithms, and their applications in data products.
• UX/UI Experience: Understanding of UX/UI design principles to ensure user-friendly product development.