Resident Solution Architect

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 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 • Work 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

• Minimum 9+ years of experience • Strong experience with Databricks • Strong Apache Spark / PySpark • Strong SQL • Strong Data Engineering fundamentals • Experience designing data pipelines / data platforms • Experience with Lakehouse / Data Warehouse / Big Data architecture • Experience with at least one cloud: AWS, Azure, or GCP • Strong customer-facing / consulting experience • Architecture/design experience • Excellent communication and presentation skills • Delta Lake, Unity Catalog, MLflow, Kafka, Streaming, Data migration, MLOps, Machine Learning, GenAI, Data governance, Terraform / CI/CD, Snowflake, and Hadoop ecosystem are good-to-have skills • Must-have skills: Data Engineering, Python, Solution Architecture • Good-to-have skills: SQL, Azure, Databricks