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 www.wipro.com.
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 < 5s (streaming), < 15min (batch)
Support for 200+ concurrent model inferences at sub second latency.
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.
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