Offer summary

Qualifications:

At least 4 years of experience in AWS data landscape., 10 years of experience designing and building complex data systems., Proficiency in data modeling, BI dashboards, and data governance., Strong communication skills and experience with DataOps practices..

Key responsibilities:

Define strategic roadmaps and outcomes for clients in a consultative role.

Act as a data engineering SME and collaborate with pre-sales teams.

Oversee the development of data standards and operating procedures.

Conduct technical interviews and provide guidance to team members.

Job description

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance, and everything in between. At Caylent, our people always come first.

About the Job

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.

Responsibilities

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

Requirements

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

Benefits

100% remote work
Generous holidays and flexible PTO
Competitive phantom equity
Paid for exams and certifications
Peer bonus awards
State of the art laptop and tools
Equipment & Office Stipend
Individual professional development plan
Annual stipend for Learning and Development
Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.

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