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Search by ‘Skills’ or ‘Keywords’ or 'Requisition ID’ Search by Location Select how often (in days) to receive an alert: Work with us Title: Data Architect - L2 FTE Requisition ID: 75702 City: Seattle Country/Region: US 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 Data Architect - L2 FTE Job Title: Data Architect Location: Seattle, WA Job Description: Experience: 12+ year Mission: Design the scalable, secure foundation for data ingestion, storage, and processing Reporting To: Enterprise Architec Mandatory Skills 5+ years building peta byte scale data lakes on Azure (ADLS Gen2, Delta Lake) Expert level Databricks: Unity Catalog, Delta Live Tables, and Spark optimizations Realtime data pipelines: Kafka/Event Hubs, Spark Structured Streaming Data modeling and database design for energy systems (meter data, SCADA telemetry, EMS/BMS integration) Experience in time-series data base design such as influxDB Hands on experience in ETL such as DBT, Airflow, API Nice to Have Experience with binary data processing (grid sensor feeds) or timeseries databases (TimescaleDB) Knowledge of energy KPI frameworks: ISO 50001, DERMS, or OpenEEMeter Key Responsibilities Core Platform Design: Architect multisource ingestion (batch/streaming) for IoT sensors, meters, and legacy SCADA Implement metadata driven pipelines (Azure Purview) for data lineage and cataloging Tenant Centric Data Isolation Design RBAC enabled data partitioning in ADLS/Databricks.Deploy encryption intransit (TLS 1.3+) and encryption at rest (Azure CMK) Scalable Energy Data Model: Develop canonical schemas for energy KPIs: PUE (Power Usage Effectiveness), Carbon Intensity Tracking, Demand Forecast Vectors Enable crosswalk integration with EMS/BMS via adapters Operational Resilience: Build data quality frameworks (Great Expectations, Databricks DQ) with anomaly alerts Optimize Delta Lake performance for mixed workloads (ML inference + reporting) Performance Metrics Data ingestion latency Support for 200+ concurrent model inferences at sub second latency. Competencies Client Centricity Passion for Results Execution Excellence Collaborative Working Learning Agility Problem Solving & Decision Making Effective communication Mandatory Skills: Data Engineering Full Stack.Experience: >10 YEARS.Expected annual pay for this role ranges from $1,00,000 to $2,00,000 . Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com . Do not email your resume to this ID as it is not monitored for resumes and career applications. Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at ombuds.person@wipro.com . We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity. #J-18808-Ljbffr Wipro Technologies

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