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Caylent

Principal Data Architect

Reposted 9 Days Ago
Remote
Hiring Remotely in United States
165K-185K
Senior level
Remote
Hiring Remotely in United States
165K-185K
Senior level
Lead and implement complex cloud-based data solutions, define strategic roadmaps, mentor teams, and oversee data standards in line with AWS practices.
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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:
    • 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
    • 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 our approach and solutions
  • Excellent written and verbal communication skills

Benefits

  • Medical Insurance for you and eligible dependents 
  • 100% remote work
  • 401k plan with company match up to 4% and immediate vesting
  • Competitive phantom equity
  • Company issued laptop
  • Dental and Vision insurance
  • Term Disability Insurance
  • Term Life Insurance
  • Flexible Spending Account
  • Equipment & Office Stipend
  • Annual stipend for Learning and Development
  • Unlimited Paid Time Off, following a 90-day probationary period
  • 10 Paid Holidays

Base Salary Range: The expected base salary range for this position is $165,000 - $185,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

NOTE: We’re unable to provide visa sponsorship now or at any time in the future.

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.

Top Skills

AWS
Bedrock
Bi Dashboards
Ci/Cd
Data Governance
Infrastructure As Code
Machine Learning
NoSQL
Python
Relational Databases
Sagemaker
Spark

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