Job Title: Database Architect with expert-level Databricks
Locations: Boston MA (Onsite Position from day one)
Duration: Long term Contract
Job Summary:
- We are looking for a Database Architect with expert-level Databricks experience to design and deliver scalable high-performance cloud data platforms. The role involves architecting enterprise data solutions on AWS and supporting analytics reporting and data engineering initiatives within the Capital Markets domain.
Key Responsibilities:
- Architect and design cloud-based data platforms using Databricks on AWS
- Build and optimize scalable data architectures (Lakehouse Delta Lake Spark)
- Define data models and data integration standards for enterprise analytics
- Provide architectural guidance to data engineering and analytics teams
- Ensure data performance reliability security and governance
- Collaborate with business and technical stakeholders to align data solutions with business goals
Required Skills:
- Databricks (Expert): Apache Spark Delta Lake notebooks jobs performance tuning
- Cloud (AWS): S3 EC2 Lambda IAM Glue
- Databases: Strong RDBMS concepts SQL data modeling
- Programming: SQL Python and/or Scala
- OS/Scripting: Unix/Linux Shell scripting
Domain Expertise:
Capital Markets:
- Strong understanding of Capital Markets operations and data flows
- Experience supporting trading risk reference data and regulatory reporting systems
Soft Skills:
- Strong communication and stakeholder management skills
- Ability to lead mentor and make architectural decisions
Job Title: Database Architect with expert-level Databricks Locations: Boston MA (Onsite Position from day one) Duration: Long term Contract Job Summary: We are looking for a Database Architect with expert-level Databricks experience to design and deliver scalable high-performance cloud data pla...
Job Title: Database Architect with expert-level Databricks
Locations: Boston MA (Onsite Position from day one)
Duration: Long term Contract
Job Summary:
- We are looking for a Database Architect with expert-level Databricks experience to design and deliver scalable high-performance cloud data platforms. The role involves architecting enterprise data solutions on AWS and supporting analytics reporting and data engineering initiatives within the Capital Markets domain.
Key Responsibilities:
- Architect and design cloud-based data platforms using Databricks on AWS
- Build and optimize scalable data architectures (Lakehouse Delta Lake Spark)
- Define data models and data integration standards for enterprise analytics
- Provide architectural guidance to data engineering and analytics teams
- Ensure data performance reliability security and governance
- Collaborate with business and technical stakeholders to align data solutions with business goals
Required Skills:
- Databricks (Expert): Apache Spark Delta Lake notebooks jobs performance tuning
- Cloud (AWS): S3 EC2 Lambda IAM Glue
- Databases: Strong RDBMS concepts SQL data modeling
- Programming: SQL Python and/or Scala
- OS/Scripting: Unix/Linux Shell scripting
Domain Expertise:
Capital Markets:
- Strong understanding of Capital Markets operations and data flows
- Experience supporting trading risk reference data and regulatory reporting systems
Soft Skills:
- Strong communication and stakeholder management skills
- Ability to lead mentor and make architectural decisions
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