AWS Data Architect

Data Architect

Location:

Phoenix, AZ (Hybrid 3 days onsite)

Need Java + Spark + AWS

• Experience Level: 10 years of experience
• Job Summary:
  
  We are looking for a Data Architect. This role requires a deep understanding of data architecture, data warehousing, ETL processes, and cloud-based data platforms. The ideal candidate will work closely with business stakeholders, data engineers, and developers to design and implement robust data solutions.

• Data Architecture:
  Design and optimize data models, schemas, and pipelines. Develop database solutions, install and configure information systems, and analyze structural requirements for new software.
• Data Warehousing & Cloud Technologies:
  Support data migration from legacy systems to modern platforms. Work with ETL tools and cloud services (AWS) to ensure efficient data processing.
• Databases: SQL, Oracle, Fusion, etc.
• Collaboration & Communication:
  Act as a liaison between business users, data engineers, and IT teams to ensure alignment on project goals. Document processes, workflows, and best practices for data implementation.
• Data Governance & Performance Optimization:
  Implement best practices for data governance, security, and compliance. Optimize query performance, cost, and storage.

• 10 years of experience as a Data Architect or in a similar role
• Hands‑on experience with data architecture, performance tuning, and SQL scripting
• Strong knowledge of ETL tools, data modelling techniques (Star Schema, Snowflake Schema), and data integration best practices
• Hands‑on experience with Java, Spark, and the framework
• Experience with cloud platforms (AWS) and data lake architectures
• Understanding of BI reporting tools (Tableau, WebFOCUS, etc.)
• Ability to translate complex business needs into technical specifications
• Strong problem‑solving and analytical skills with attention to detail
• Excellent communication and stakeholder management skills

• Experience in banking and HR domains
• Knowledge of Java, Python, or scripting languages for data manipulation
• Familiarity with data governance frameworks and regulatory compliance (GDPR, CCPA, etc.)
• Certifications in data architecture (AWS, Azure, or Data Analytics)
• Skills
• Mandatory
  
  Skills:
  
  GCP Data Architecture, MDM Conceptual, Data Architecture, Data Lakehouse Architecture, Dimensional Data Modelling