Accelerance, Inc. is seeking a highly skilled and experienced Technical Solutions Architect specializing in software, machine learning (ML), Cloud, and Software as a Service (SaaS) solutions. Your technical leadership and expertise in software architecture, ML, Cloud infrastructure, and SaaS applications will be instrumental in driving and delivering the successful implementation of scalable, reliable, and secure solutions for our clients.
Responsibilities
- Collaborate closely with clients to understand their business objectives, operational constraints, technical requirements, and data challenges, and translate them into comprehensive solution designs.
- Design end-to-end architecture solutions for software applications, ML models, data pipelines, and analytics platforms, considering factors such as scalability, performance, security, and cost-effectiveness.
- Lead the technical implementation process, working closely with development teams, data engineers, ML scientists, and other stakeholders to ensure the successful delivery of the solution.
- Evaluate and recommend appropriate software architectures, Cloud services, ML frameworks, and SaaS offerings to meet the specific needs of each project, considering factors such as functionality, scalability, interoperability, and regulatory compliance.
- Define data integration strategies and techniques for seamless connectivity between disparate data sources, Cloud environments, and third-party SaaS applications.
- Develop and maintain architecture documentation including system diagrams, ML model diagrams, data flow diagrams, design specifications, and technical documentation for reference and future use.
- Conduct architecture reviews and provide technical guidance and recommendations to ensure adherence to best practices, standards, and industry regulations, particularly in the areas of data privacy and security.
- Stay updated on emerging technologies, trends, and best practices related to software development, ML, data analytics, Cloud computing, and SaaS solutions, and incorporate them into solution designs.
- Provide technical leadership and mentorship to Offshore teams, fostering a culture of innovation, collaboration, continuous learning, and continuous improvement.
Qualifications
- Strong problem-solving skills and the ability to think strategically while executing tactically.
- Excellent communication and interpersonal skills, with the ability to effectively interact with clients and stakeholders and drive offshore teams.
- Thorough understanding of principles and methods used to promote, sell, and execute technology consulting services.
- Thorough understanding of software development methodologies and effort and cost estimation methods
- Thorough understanding of requirements, change, quality, and risk management.
- Thorough understanding of technology stack management.
- Proficient computer and software skills related to content creation and management.
Education and Experience
- Bachelor degree in Computer Science, Information Technology, or a related field; master's degree preferred.
- Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified, Azure Solutions Architect Expert, or similar.
- Minimum 10 years of proven experience working as a Technical Solution Architect, with a focus on software, data, ML, Cloud, and SaaS solutions.
- Expertise in software architecture principles, design patterns, and best practices.
- Expertise in cloud computing concepts, architectures, and services (e.g., AWS, Azure, Google Cloud Platform).
- Expertise in designing and implementing scalable, reliable, and secure software solutions using cloud-native technologies.
- Expertise in integration techniques such as API-based integrations, microservices architecture, and data synchronization.
- Experience with SaaS platforms and applications, including but not limited to Salesforce, Microsoft 365, ServiceNow, etc.
- Hands-on experience with ML frameworks and techniques, data analytics tools, and cloud-based ML services.
- Experience with big data technologies such as Hadoop, Spark, and Kafka is a plus.
- Experience leading offshore / nearshore solution delivery preferred.