TECHNOLOGY ARCHITECT L1

City: Seattle

State/Province: Washington

Posting Start Date: 2/2/26

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 www.wipro.com.

Job Description:

• Improved data clarity and reduced ambiguity in engineering decision cycles.
• High-quality insights that lead to measurable deployment or optimization improvements.
• Prompt strategies adopted by network teams with demonstrated value uplift.
• Reduced analysis-to-action timelines using data-driven prompts.
• Clear ROI reporting for each phase of the data-centric solution lifecycle.
• Strong alignment between data, engineering, product, and governance teams.

• Work with Databricks data engineering teams to understand data pipelines, schemas, and transformations across network deployment and production systems.
• Analyze large-scale network datasets (5G/4G build data, configuration data, deployment milestones, site on-air performance, NOC events, provisioning trends).
• Identify patterns, correlations, and gaps to derive actionable business insights for engineering and leadership.
• Translate insights into clear business narratives, KPIs, and recommendations that shape decision-making.

• Convert data-driven insights into prompt engineering priorities for network engineering teams.
• Help define and refine targeted prompts that assist engineers in:
• Value quantification
• ROI justification
• Deployment optimization
• Network quality improvement
• Create prompt templates, context guides, guardrails, and evaluation frameworks based on business logic and data behaviors

• Work closely with Databricks platform engineers to:
• Identify required data tables and gold/silver layers
• Validate data quality and lineage
• Ensure correct business interpretation of curated datasets
• Participate in architecture discussions, data model reviews, and UAT cycles for new data products.
• Support A/B experiments, pilot programs, and validation of AI/ML or LLM-assisted solutions

• Network deployment lifecycle o RF/Performance metrics
• OSS/BSS data flows o Network inventory, topology, configuration
• Hands-on experience analyzing production datasets in: o Databricks o PySpark / SQL
• Familiarity with GenAI concepts:

1. Prompt engineering principles
2. Evaluation frameworks
3. Retrieval-augmented generation (RAG) is a plus

• Ability to interpret data models, jobs, pipelines, ETL/ELT processe