Data Architect
Jyotishka BiswasUnited StatesMIDPosted 4d ago
DatabricksApache SparkDelta LakeAWSS3EC2LambdaIAMGlueRDBMSSQLData ModelingPythonScalaUnix/LinuxShell Scripting
About the Role
We are looking for a Database Architect with expert-level Databricks experience to design and deliver scalable, high-performance cloud data platforms. This 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