Job Description:
We are seeking a highly skilled Principal Solutions Architect with deep expertise in AWS, cloud-native applications, and software engineering. This role is pivotal to our success and expansion within customer accounts, focusing on delivering high-quality, data-driven solutions that enable clients to become "AI Ready."
The ideal candidate will have experience as a Chief Architect or in similar roles within end-user organizations, demonstrating a successful history of designing and delivering cloud-native solutions. We value individuals who possess a blend of end-user insights and consulting expertise.
Key Responsibilities:- Cloud-Native Application Expertise: Utilize your in-depth knowledge of AWS to design, implement, and enhance cloud-native applications that align with customer needs.
- Technical Leadership: Provide consulting, delivery oversight, and support in revenue generation activities to drive customer satisfaction and project success.
- Stakeholder Engagement: Collaborate closely with key stakeholders, delivering tailored solutions while fostering strong relationships built on trust and transparency.
- Delivery Oversight: Lead a team of engineers and architects or work independently, coordinating with delivery teams to ensure project milestones are achieved effectively.
- Strategic Consulting: Guide clients through the intricacies of data modeling, AI integration, and other advanced analytics frameworks, enhancing their capabilities to prepare for future AI implementations.
Qualifications:- Experience:
- Extensive expertise in software development and architecture, particularly within cloud-native environments (AWS).
- Strong background in data solutions, data modeling, and AI applications, with hands-on experience in Snowflake being a significant advantage.
- Experienced in consulting and delivery oversight, with a focus on revenue generation and high-impact project delivery.
- Adaptable Leadership: Ability to manage projects effectively, with a focus on mentoring and guiding team members
- Proficiency in AWS services such as EC2, Lambda, S3, RDS, and Redshift.
- Experience with containerization and orchestration platforms, such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and DevOps practices, using tools like Jenkins, GitLab CI, or AWS CodePipeline.
- Strong knowledge of databases, including SQL and NoSQL technologies (e.g., DynamoDB, MongoDB).
- Experience with data ingestion and processing frameworks (e.g., Apache Kafka, Apache Spark, or AWS Glue).
- Understanding of microservices architecture and RESTful API design principles.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack) for operational excellence.