Architect specializing in developing large - scale mixed - use and urban projects for global consultancy. Contributing to design strategies alongside multidisciplinary teams across various project stages.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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