Location: Remote
Reports to: Director of Professional Services
The world is changing and demanding software technology solutions that enable businesses to build and scale new data-first solutions and products in the market.
At Innovative, we are focused on helping every customer become a technology company, which means a key focus on Data, Machine Learning (ML), and Generative AI (GenAI). We are seeking a data-first Cloud Solutions Architect that will be responsible for guiding customers and internal teams to the next frontier on their technological journey by developing their Data/ML plans and strategies.
Job Overview:
As a Cloud Solutions Architect at Innovative Solutions, you will be a key technical resource, responsible for helping our customers successfully utilize AWS (Amazon Web Services) data tools to grow their businesses and create new revenue streams. You will have a deep understanding of AWS data, ML, and Generative AI services as well as common third-party data and ETL tools.
Responsible for:
-Engage with customers to understand their current state, and design data and analytics solutions that will meet their requirements
-Create and deliver detailed Data and ML plans, including timelines, cost estimates, and detailed technical guidance for the customer
-Provide guidance on best practices for using AWS Data and ML services such as Glue, SageMaker, Bedrock and how they can be integrated with the customer's existing stack
-Stay up to date with new AWS services and features and be able to articulate their value to customers
-Act as an organizational consultant to customers, guiding them on how cloud technologies will transform their business
-Provide technical guidance to other members of the Innovative Solutions teams
-Develop procedures and standards for the AWS Data and ML Practice for the Innovative Technical Sales Engineering team
How you will be successful:
-Innate ability to understand customer need and pain points
-Strong aptitude for modern data architecture
-Having a backbone and strong will to get things done
-Natural customer obsession and ability to empathize with customer’s business needs
-Ability to participate in and lead crucial conversations with customers, partners, and internal stakeholders
How will your success be measured :
-Customer Satisfaction
-Delivering projects on time and within budget
-Continuous learning, measured by attainment of additional AWS certifications
What experience you need:
-3+ Experience designing data pipelines, and creating or Fine-Tuning ML models
-5+ years of experience in a delivery role at a cloud consulting or cloud managed services provider
-Experience using the Amazon Web Services platform
-Understanding of core AWS data and analytics services such as RDS, S3, Redshift, Glue, Quicksight, Athena, Kinesis
Extra Credit
-Experience with Generative AI technologies and vendors such OpenAI, Anthropic, Cohere, Weaviate, and Pinecone
-Understanding of IBM services Watson X, Watson X Assistant, Data Stage preferred
