Senior Cloud Data Architect - AWS & Databricks

EXL; Minneapolis (MN); On-site; USD 140,000 - 170,000; Full time

Job summary

EXL Service is seeking a Data (DBX) Leader to design, implement, and govern enterprise cloud and data architectures across banking and financial domains. Deep expertise in AWS and Databricks with Azure exposure, and strong leadership to guide engineering teams.

You will shape cloud strategy, build scalable data platforms, ensure security and cost efficiency, and communicate complex concepts to technical and non-technical stakeholders.

Qualifications

• 12–15 years of IT experience with cloud, data engineering and enterprise architecture in Banking/Financial domain.
• 5+ years hands-on experience architecting production solutions on AWS.
• 3+ years strong Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
• Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
• Deep understanding of data modeling, data governance, metadata management, and security practices.
• Experience with CI/CD pipelines, Terraform/CloudFormation, GitOps, and end-to-end automation.
• Strong knowledge of cloud networking, VPCs, IAM, encryption, and security frameworks (NIST, CIS).
• Preferred: Azure cloud architecture including AD, Databricks, Synapse, and DevOps.

Responsibilities

• Lead architecture design for enterprise cloud and data platforms.
• Create high-level and low-level architecture blueprints with security and cost considerations.
• Oversee end-to-end delivery with engineering and DevOps teams.
• Guide data engineering, analytics, and platform teams through implementation and optimization.
• Provide SME guidance in client discussions and executive presentations.

Skills

Python

SQL

PySpark

Databricks

AWS

Azure

Terraform

CI/CD

Security

Data Governance

Tools

GitOps

CloudFormation

Job description

EXL Service is seeking a Data (DBX) Leader to design, implement, and govern enterprise cloud and data architectures across banking and financial domains. Deep expertise in AWS and Databricks with Azure exposure, and strong leadership to guide engineering teams.

You will shape cloud strategy, build scalable data platforms, ensure security and cost efficiency, and communicate complex concepts to technical and non-technical stakeholders.