Role Description As Director of Solutions Engineering, you will lead, mentor, and scale a team of Solutions Engineers across North America, driving technical excellence throughout the customer buying journey. Partnering closely with Sales leadership, you will develop winning presales strategies, guide complex enterprise opportunities, and ensure customers clearly understand the business value of GBG's solutions. This is a hands-on leadership role requiring both strategic vision and active customer engagement. You will coach and develop top technical talent, drive presales best practices, and help shape the future of the function through the adoption of AI-enabled tools and processes. Ideal candidates bring a proven track record of leading high-performing presales teams, influencing executive stakeholders, and delivering results in a fast-paced, growth-oriented SaaS or technology environment. What you will do - Lead, mentor, and develop a high-performing team of Solutions Engineers, fostering a culture of technical excellence, accountability, and continuous growth. - Drive the technical sales strategy across North America, guiding discovery, solution design, demonstrations, and customer evaluations. - Partner closely with Sales leadership to align presales activities with revenue objectives and accelerate business growth. - Establish and scale best-in-class presales methodologies, processes, and tools to improve consistency, efficiency, and customer outcomes. - Act as a trusted advisor and executive sponsor on strategic enterprise opportunities, helping customers solve complex identity, fraud, and data challenges. - Champion the adoption of AI-enabled practices and technologies to enhance team productivity, customer engagement, and technical differentiation. - Collaborate cross-functionally with Product and Engineering teams to translate customer and market insights into future product innovation. - Leverage data and performance metrics to optimize technical win rates, evaluation success, deal velocity, and overall business impact. - Attract, hire, and retain top Solutions Engineering talent while building a scalable organization capable of supporting continued growth. - Serve as a key member of the Customer Engineering leadership team, helping shape the vision, strategy, and future direction of the function. Qualifications - Proven success leading, coaching, and developing high-performing Presales or Solutions Engineering teams in a growth-oriented technology organization. - A leadership style rooted in coaching and mentorship, with a passion for helping individuals grow, succeed, and advance their careers. - Deep expertise in presales methodologies, frameworks, and best practices, with a track record of scaling processes that improve team performance and business outcomes. - Hands-on experience leveraging AI tools to increase productivity, enhance customer engagement, and drive more effective technical evaluations. - Ability to serve as a strategic advisor to both customers and internal stakeholders, influencing decisions at all levels of the organization. - Strong executive presence with exceptional communication and presentation skills, capable of translating complex technical concepts into compelling business value. - A proactive, ownership-driven mindset with a demonstrated ability to lead initiatives, solve problems, and deliver results in fast-paced environments. - Strong ability to bridge the gap between customer challenges, business objectives, and technical solutions. - Experience in identity verification, fraud prevention, risk, data intelligence, cybersecurity, fintech, or adjacent technology markets is preferred but not required. - Proven ability to recruit, develop, and retain top technical talent while building engaged, high-performing teams. Work Structure This is a remote position with a strong preference for candidates in the Atlanta metropolitan area. Travel for customer visits, team collaboration, and stakeholder meetings may be required (estimated up to 40%). To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers .

• Design, develop, and deploy scalable applications in our AWS environment, ensuring the implementations meet business requirements and adhere to high-quality standards. • Collaborate closely with cross-functional teams, including product managers, designers, and fellow engineers, driving seamless product development from concept to deployment. • Keep our tech stack modern and competitive by staying current with the latest industry trends and technologies. • Enhance system observability and reliability through writing tests, adding key metrics, debugging issues, and learning from incidents. • Contribute to our team's growth by assisting with resume screening and conducting interviews for new talent.

• Develop and maintain full stack web applications using Python and React. • Design and build scalable cloud-native solutions using modern architecture and best practices. • Develop REST APIs and integrate third-party services. • Deploy and manage applications on AWS, Azure, or Google Cloud Platform (GCP). • Implement containerized applications using Docker and Kubernetes. • Build and maintain CI/CD pipelines and Infrastructure as Code (IaC). • Optimize applications for performance, scalability, security, and reliability. • Collaborate with technical and business teams to deliver project requirements. • Perform testing, debugging, code reviews, and maintain technical documentation. • Stay up to date with emerging technologies and recommend improvements when appropriate.

Role Description We are seeking a highly skilled and hands-on Databricks Solution Architect with deep expertise in designing, building, and optimizing Lakehouse-based Data Engineering, Machine Learning, and AI solutions on the Databricks platform. This contract role is based in Singapore, offering flexibility to work on-site with enterprise clients or remotely within the region. The ideal candidate will have strong experience in architecting modern data platforms, implementing scalable data pipelines, enabling MLOps, and delivering AI/LLM use cases using Databricks technologies. You will lead technical solution design, mentor engineering teams, and collaborate closely with business stakeholders to deliver secure, scalable, and high-performance data solutions. Qualifications - 8+ years of experience in Data Engineering, Big Data, Cloud Data Platforms, or Analytics. - 4+ years of hands-on experience with the Databricks platform. - Strong programming skills in Python and/or Scala. - Extensive experience with Apache Spark and Spark SQL. - Strong knowledge of Lakehouse architecture, data modeling, ETL/ELT design, and streaming data processing. - Experience implementing MLOps practices using MLflow, model lifecycle management, and automated deployment pipelines. - Hands-on experience with Terraform, Git, Azure DevOps, GitHub Actions, or Jenkins. - Strong understanding of cloud platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP). - Experience implementing security, governance, and data access controls using Unity Catalog. - Experience with monitoring, logging, and observability tools. - Strong problem-solving, communication, and stakeholder management skills. Requirements - Design, architect, and implement enterprise-scale Databricks Lakehouse solutions for analytics, data engineering, machine learning, and AI workloads. - Develop scalable batch and streaming data pipelines using Delta Live Tables (DLT), Apache Spark, Spark SQL, Python, and Scala. - Build, optimize, and maintain Delta Lake architectures for high-performance data processing. - Configure and administer Databricks Workspaces, Unity Catalog, SQL Warehouses, clusters, and job orchestration. - Design secure, governed, and compliant data platforms using Unity Catalog, access controls, and data governance best practices. - Implement Infrastructure as Code (IaC) using Terraform and automate deployments through Git-based CI/CD pipelines. - Optimize ETL, ELT, streaming, and machine learning workloads for performance, scalability, cost efficiency, and reliability. - Build and operationalize MLOps pipelines using MLflow, model registry, experiment tracking, and automated model deployment. - Develop AI and Generative AI solutions leveraging DBRX, Mosaic AI, Retrieval-Augmented Generation (RAG), and LLM frameworks. - Integrate enterprise AI services such as OpenAI, Amazon Bedrock, Azure OpenAI, or Hugging Face where applicable. - Implement monitoring, observability, and cost optimization using Splunk, Prometheus, CloudWatch, or similar monitoring platforms. - Collaborate with cross-functional teams, business stakeholders, architects, and customers to define technical roadmaps and deliver enterprise data solutions. - Provide technical leadership, conduct architecture reviews, and mentor engineering teams on Databricks and cloud best practices. Company Description