Resident Solution Architect

Job not on LinkedIn

🔥 13 minutes ago

🇮🇳 India – Remote

💵 ₹3.5M - ₹6M / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 0%

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Weekday

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

Weekday is your everyday paradox wrapped in denim—unapologetic, unpredictable, and always evolving. Discover our full range of men’s and women’s fashion, from statement Weekday jeans and perfectly imperfect suiting to comfort-first underwear and bold pop culture-inspired graphic prints. Build your wardrobe with Astro jeans and chunky scuba pieces, ideal for creating relaxed yet modern outfits. Explore essential mini and maxi skirts, oversized shirts, short sleeve tops, and lightweight jackets—all available in muted tones and bold seasonal hues. Whether you're styling half-tucked tees or layered looks, Weekday offers statement pieces and versatile basics to fit your mood, your moment, and your everyday, embracing the many true expressions of youth.

📋 Description

• Work directly with enterprise customers as a trusted technical advisor • Understand customer business and technical requirements and translate them into scalable data architectures • Design and implement modern Lakehouse / Data + AI architectures using Databricks • Develop and guide POCs, technical workshops, and architecture demonstrations • Work extensively with Apache Spark / PySpark, SQL, and Databricks • Design scalable data ingestion, transformation, and processing pipelines • Work with Delta Lake, Unity Catalog, and Databricks platform capabilities • Support data migration and modernization initiatives • Integrate Databricks with AWS, Azure, or GCP • Troubleshoot performance, scalability, reliability, and data pipeline issues • Collaborate with customer engineering, data science, architecture, and leadership teams • Provide technical recommendations around data engineering, analytics, ML/AI, and cloud architecture • Create reference architectures, technical documentation, and implementation guidance • Support production deployment and adoption of Databricks solutions • Conduct technical workshops, enablement sessions, and knowledge-sharing activities

🎯 Requirements

• 9+ years of experience • Strong experience with Databricks • Strong Apache Spark / PySpark skills • Strong SQL skills • Strong data engineering fundamentals • Experience designing data pipelines / data platforms • Experience with Lakehouse / Data Warehouse / Big Data architecture • Experience with at least one cloud platform: AWS, Azure, or GCP • Strong customer-facing / consulting experience • Architecture/design experience • Excellent communication and presentation skills • Must-have skills: Data Engineering, Python, Solution Architecture • Good-to-have skills: SQL, Azure, Databricks