Databricks Solution Architect (AWS)

Are you a seasoned Databricks Solution Architect with expertise in designing secure, scalable, cloud-native data platforms? Join our team and lead enterprise data modernization initiatives leveraging the Databricks Lakehouse Platform and AWS., Architect and deliver enterprise-scale Databricks Lakehouse solutions.

Design high-performance ETL/ELT, batch, and real-time streaming data pipelines.

Lead solution architecture, technical design sessions, and implementation strategies.

Optimize Databricks clusters for scalability, reliability, and cost efficiency.

Develop modern data architectures supporting analytics, AI/ML, and business intelligence.

Mentor engineering teams and establish architecture best practices.

Security, Governance & Compliance

Design secure Databricks environments with enterprise-grade security controls.

Implement Unity Catalog, RBAC, data governance, lineage, auditing, and cataloging.

Ensure encryption, secrets management, IAM integration, and secure networking.

Support compliance with enterprise security standards and regulatory requirements.

Build secure CI/CD pipelines and promote infrastructure-as-code best practices.

Databricks Lakehouse Platform

Apache Spark / PySpark / SQL

AWS (S3, IAM, Glue, Lambda, Redshift, etc.)

Delta Lake & Delta Live Tables

Unity Catalog & MLflow

Kafka, Kinesis, Structured Streaming

Data Modeling & Lakehouse Architecture

Git, CI/CD, DevOps

Preferred Qualifications

Databricks Certified Data Engineer Professional or Databricks Architect Certification

AWS Solutions Architect Certification

Experience with enterprise cloud migration and data modernization

Knowledge of Tableau, Power BI, or Looker

Experience with MLOps and AI/ML platforms

Why Join?