Senior Databricks Architect

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

qode.world

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

👥 HR Tech

🎯 Recruiter

Artificial Intelligence • HR Tech • Recruitment

qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results.

📋 Description

• Architect and implement end-to-end data solutions using Databricks Lakehouse Platform • Design and develop scalable data pipelines using PySpark, Spark, and SQL • Lead cloud data platform implementations on AWS/Azure/GCP • Drive modernization of legacy data systems to cloud-native architectures • Implement Medallion Architecture (Bronze, Silver, Gold layers) • Ensure data governance, security, and compliance (especially for Financial Services) • Collaborate with business stakeholders, data scientists, and engineering teams • Optimize performance, cost, and reliability of data pipelines • Mentor and guide data engineering teams and provide architectural leadership.

🎯 Requirements

• 12+ years of experience in Data Engineering / Data Architecture • Strong expertise in Databricks, PySpark, and Spark ecosystem • Hands-on experience with cloud platforms (Azure, AWS, or GCP) • Experience with data orchestration tools (Airflow, ADF, etc.) • Solid understanding of data modeling, ETL/ELT, and distributed systems • Experience with Delta Lake and Unity Catalog is a plus • Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets) • Excellent problem-solving and stakeholder management skills.