Data Analytics Architect

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Analytics
Apache Spark
Communication
Conflict Resolution
Data Analysis
Data Architecture
Data Governance
Data Integration
Databricks
Laptop
Mentorship
Modeling
Problem Solving

Job Details

We are seeking a Data Analytics Architect with strong hands-on experience in Data Vault, Canonical Modeling, and Data bricks. This role is ideal for a highly technical individual with a deep understanding of modern data architecture principles and a proven ability to translate business requirements into scalable and efficient data solutions.

Key Responsibilities:

  • Design and implement scalable data architecture solutions using Data Vault 2.0 methodology

  • Build and maintain canonical data models to standardize and simplify data integration across systems

  • Develop data pipelines and analytics solutions in Data bricks

  • Collaborate with business stakeholders, data engineers, and analysts to understand data needs and deliver high-quality solutions

  • Ensure data governance, security, and quality standards are maintained

  • Provide architectural guidance and mentoring to development teams

Must-Have Skills:

(These must be clearly listed on the resume)

  • Hands-on experience with Data Vault (preferably 2.0)

  • Strong expertise in Canonical Data Modeling

  • Extensive experience with Databricks (data pipelines, Delta Lake, Spark)

Additional Requirements:

  • Excellent communication and problem-solving skills

  • Must be comfortable working independently in a remote setting

  • Must be available during Pacific Time (PST) working hours

Note: Candidates are required to use their own laptop for this assignment.

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.