Overview
Remote
Depends on Experience
Full Time
Skills
Azure
Data
Architect
Databricks
AI
Job Details
Cloud Data Architect
100% Remote
Employment: W2/Fulltime (H1B)
Job Summary
The Cloud Data Architect will design, evolve, and optimize cloud-based data architectures and pipelines across Azure environments. This role blends hands-on data engineering with high-level architectural design, including creation of diagrams, documentation, and cloud data strategies. Must be experienced with Azure, Databricks, Spark, and modern data modeling practices.
Core Responsibilities
Cloud Data Architecture Design & Strategy
- Design secure, scalable cloud-based data architectures, including pipelines, lakes, and warehouses.
- Select and integrate cloud data services (Azure Data Lake, Databricks, etc.).
- Align cloud data solutions with business goals and enterprise architecture strategies.
Diagramming & Documentation
- Create high-quality architecture artifacts:
- Data flow diagrams
- ER diagrams
- System architecture diagrams
- Maintain documentation of architecture, design decisions, standards, and processes.
Hands-on Implementation & Optimization
- Build and optimize data pipelines and data systems using Spark/Databricks.
- Troubleshoot data quality, data pipeline, and performance issues.
- Implement performance tuning strategies for large-scale cloud data workloads.
Required Qualifications
- Bachelor s degree in CS, Data Science, IS, or related field.
- 5+ years of hands-on data engineering using distributed frameworks (Spark, MapReduce, Databricks).
- Proven Azure cloud data engineering/architecture experience.
- Strong data modeling background.
- Expertise with relational & NoSQL database systems.
- Strong diagramming skills (Visio, Lucidchart, Draw.io).
Preferred Qualifications
- Deep knowledge of Azure data services (Azure Data Lake, Databricks).
- Big data ecosystem experience (Hadoop, Spark).
- Familiarity with data governance/security principles.
- Proficiency in Python and SQL.
Additional Skills
- Excellent communication and documentation abilities.
- Advanced problem-solving for complex data architecture challenges.
- Ability to work cross-functionally and mentor engineers.
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.