Cloud Data Architect

Overview

Remote
$60 - $70
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)

Skills

Data Architecture
Data Engineering
Data Modeling
Data Warehouse
Databricks
Knowledge Sharing
Documentation
Cloud Computing
Systems Architecture
Analytics
Database
Information Systems

Job Details

Cloud Data Architect
USA- Remote (East coast or in CST time zone)
TCS/Adobe

Job Description:

The Cloud Data Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture. This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.

Core Responsibilities

  • Cloud Data Architecture Design & Strategy:
  • Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
  • Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
  • Develop comprehensive cloud data strategies in alignment with business goals.
  • Diagramming & Documentation:
  • Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
  • Maintain detailed documentation of data architecture, design decisions, and processes.
  • Hands-on Implementation & Optimization:
  • Actively contribute to the hands-on implementation of cloud data solutions.
  • Proactively identify and implement performance optimization strategies for cloud data systems.
  • Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
  • Proven track record of successfully designing and implementing cloud-based data solutions in Azure
  • Deep understanding of data modeling concepts and techniques.
  • Strong proficiency with database systems (relational and non-relational).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.