Hybrid Senior Databricks Architect

Posted yesterday

Apply now

About the role

  • Senior Databricks Architect designing and delivering high-performance data platforms for Financial Services clients. Focus on cloud architectures and modern data engineering practices.

Responsibilities

  • 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.

Job title

Senior Databricks Architect

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job