AWS Data

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. Key Responsibilities: 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. Required Skills Qualifications: 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 modeling techniques, Star Schema, Snowflake Schema, and data integration best practices. Hands-on experience on Java Spark Framework. Experience with cloud platforms AWS and data lake architectures. Understanding of BI reporting tools Tableau Web focus 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. Preferred Qualifications: 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