Data Architect

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Company: Futran Tech Solutions Pvt. Ltd.

Location: Phoenix, AZ 85032

Description:

Job Title: Data Architect

Location: Pheonix, Arizona (Hybrid role - 3 days/week (Monday, Tuesday, and Wednesday)

Job Description

Industry: It will great if he has worked with HR Applications

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: Design and optimize data models, schemas, and pipelines. Develop database solutions, install and configure information systems, and analyze structural requirements for new software[1].
  • 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 , 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.
  • 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.

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.

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