Principal Data Architect — Databricks Enablement

Caylent

4d•CA$180,000 - CA$202,000•Remote

About The Position

Caylent is seeking a highly experienced and skilled Principal Data Architect to join their Cloud Data Engineering Practice. This role is responsible for leading the design and implementation of complex cloud-based data solutions for clients. The ideal candidate will possess a deep understanding of cloud data and analytics technologies.

Requirements

At least 4 years of experience in AWS data landscape.
10 years of experience designing and building complex data systems.
Experience in Traditional Data (At least 2): 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.
Experience in New Data (at least 2): 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).
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 approach and solutions.
Excellent written and verbal communication skills.

Responsibilities

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