Job Title: SOLUTION ARCHITECT L1 City: San Jose State/Province: California Posting Start Date: 3/12/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at Job Description:
Job Description -
1. Data Architecture Design: Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to design and develop a scalable and robust data architecture that meets the organization's analytical needs.
2. Data Modeling: Develop and maintain conceptual, logical, and physical data models that support the integration, transformation, and delivery of data across different systems and platforms.
3. Data Integration: Identify and implement data integration strategies to bring together data from diverse sources, ensuring data consistency, accuracy, and integrity.
4. ETL/ELT Development: Design and develop efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes to transform raw data into meaningful insights. Collaborate with data engineering teams to optimize data pipelines for performance and scalability.
5. Data Visualization: Work closely with business stakeholders to understand their reporting and analytics requirements. Design and develop interactive dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, or QlikView to provide actionable insights.
6. Data Governance: Establish and enforce data governance principles, policies, and standards to ensure data quality, security, and compliance. Define and implement data access controls, data lineage, and data privacy measures.
7. Performance Optimization: Continuously monitor and optimize data processes and performance to ensure efficient data delivery and improved user experience. Identify and resolve bottlenecks or data quality issues.
8. Team Leadership: Provide technical leadership and mentorship to a team of data engineers and analysts. Collaborate with stakeholders to define the team's roadmap, prioritize projects, and ensure timely delivery of high-quality solutions.
9. Self driven and team leader
Requirements:
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