Job Description

Introduction

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 75 countries, Axtria is one of the largest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Position Summary:
We are seeking a seasoned AWS Cloud Data Architect with strong expertise in building data warehouses on AWS or migrating on-premise data warehouse environments to AWS Cloud. The ideal candidate will have a deep understanding of cloud architecture, data modeling, and enterprise data strategies, and will play a key role in enabling our clients’ cloud transformation journeys.

• Develop high-level data architecture documentation , including data policies, models (Conceptual, Logical, Physical), data dictionaries, and data flow diagrams.
• Design and implement scalable data warehouse solutions on AWS or lead the migration of existing on-premise data warehouses to AWS .
• Collaborate with business and product owners to gather requirements and define data management needs.
• Drive AWS cloud transformation by analyzing total cost of ownership (TCO), building business cases, and providing cloud enablement strategies.
• Assess clients’ AWS cloud maturity, evaluate existing cloud environments, and recommend architecture improvements and best practices.
• Design and implement cloud-native and hybrid cloud architectures, including microservices using Kubernetes and other PaaS platforms.
• Lead technical engagements and guide organizations through the complexities of cloud and DevOps transformations.
• Provide technical leadership in AWS architecture, including performance, scalability, governance, cost optimization, security, and operations.
• Serve as a thought leader by producing white papers and reference architectures focused on AWS and hybrid cloud solutions .

• Proven experience in building or migrating enterprise data warehouses to AWS.
• Deep understanding of AWS cloud services and cloud-native architecture.
• Strong knowledge of data modeling, data architecture principles, and best practices.
• Hands-on experience with AWS services such as Redshift, S3, Glue, Lambda, EC2, RDS, etc.
• Familiarity with DevOps and CI/CD practices and tools (e.g., Jenkins, Terraform, Kubernetes).
• Excellent stakeholder engagement and communication skills.

Logistics and Location: 

• We are hiring in Berkeley Heights, NJ
• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply
• Flexibility to travel and/or relocate within the US, if necessary

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