Principal Data Architect

We are seeking a highly experienced and skilled Principal Data Architect to join our Cloud Data Engineering Practice. The Principal Data Architect will be responsible for leading the design and implementation of complex cloud-based data solutions for our customers. The ideal candidate will have a deep understanding of cloud data and analytics technologies.

• →Define strategic roadmaps and targeted outcomes for our clients in a consultative capacity
• →Act as a data engineering SME to define upcoming engagements working with our pre-sales teams
• →Perform technical interviews for Architect and Engineer candidates as well as provide technical guidance to Architects and Engineers
• →Oversee the development and implementation of data standards and operating procedures

• At least 4 years of experience in AWS data landscape
• 10 years of experience designing and building complex data systems as well as experience in these areas:
  • Relational database design, optimization and migration
  • Data modeling for both transactional and analytics systems including implementation of industry standard data models
  • BI dashboards and visualizations
  • Data Governance and MDM
  • Big data processing using Spark, Streaming solutions, and NoSQL
  • Machine Learning and MLOps with proficiency in Sagemaker
  • GenAI Foundational Models as well as approaches and frameworks used in conjunction with them with proficiency in Bedrock.
  • DataOps practices (Infrastructure as Code, Data Testing, Data Versioning, etc) 
• Traditional Data (At least 2):
• New Data (at least 2):

• Experience with at least two of these:
• Infrastructure as Code tools
• CI/CD pipelines and tools
• Python for analytics (numpy, pandas, matplotlib etc) and automation
• Strong drive towards standardizing and documenting our approach and solutions
• Excellent written and verbal communication skills