Qode is a unified hiring platform designed for enterprise scale, centralizing the entire hiring lifecycle in one environment. Key features include: Candidate sourcing and outreach. AI-led interviews in 30+ languages. Applicant tracking and job distribution to 200+ platforms. Outcome-based pricing: clients pay for results, not software seats. 800M+ candidate profiles indexed. 200,000+ applicants processed per month. 56+ enterprise clients worldwide.
Senior Databricks Architect
Location
United States
Posted
7 hours ago
Salary
0
Seniority
Senior
Job Description
Senior Databricks Architect
Qode
Role Description We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems. - 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 Qualifications - 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 Requirements - Databricks certifications - Experience with real-time data processing (Kafka, streaming) - Exposure to AI/ML pipelines and MLOps - Knowledge of regulatory and compliance frameworks in Financial Services
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