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AWS/Azure Databricks Architect

SmartIT FrameRaritan, NJ🇺🇸United StatesPosted 3 Aug 2026

Why This Role Stands Out

You can elevate your career by architecting cutting-edge Databricks Lakehouse solutions across AWS and Azure, gaining invaluable experience in data architecture and platform engineering. This hybrid role is perfect for a skilled AWS/Azure Databricks Architect ready to lead impactful projects and drive innovation. Apply today to join a collaborative team and shape the future of data at SmartIT Frame.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

AWS/Azure  Databricks Architect

Location Raritan NJ Omsite

 

Role Summary

We are looking for an experienced AWS Databricks Architect to design implement and optimize scalable Lakehouse solutions across AWS as well as Azure cloud platforms The ideal candidate will provide technical leadership in data architecture platform engineering data governance performance optimization and enterprisegrade Databricks implementations

 

Key Responsibilities

              Design and architect endtoend Databricks Lakehouse solutions across AWS and Azure environments

              Define scalable data architecture patterns for ingestion transformation storage analytics and reporting workloads

              Lead implementation of Delta Lake medallion architecture Databricks SQL Unity Catalog and workflow orchestration

              Optimize Apache Spark jobs clusters notebooks pipelines and workloads for performance reliability and cost efficiency

              Implement security access control secrets management data governance and compliance best practices across cloud platforms

              Collaborate with data engineering BI data science DevOps and business teams to deliver highquality data solutions

              Guide CICD infrastructureascode monitoring alerting and production deployment practices for Databricks workloads

              Provide technical leadership architecture reviews troubleshooting support and mentoring to project teams

 

Mandatory Skills

              6 years of experience in data engineering data architecture or big data platform implementation in AWS cloud platform and knowledge in Azure platform as well

              Strong handson experience with Databricks platform architecture workspace setup cluster configuration jobs notebooks and workflow orchestration

              Expertise in AWS services such as S3 IAM VPC Glue Lambda CloudWatch and related data platform services

              Expertise in Azure services such as ADLS Azure Data Factory Azure Synapse Key Vault Entra ID and Azure Monitor

              Strong knowledge of Apache Spark PySpark SQL Delta Lake and Lakehouse architecture concepts

              Experience with data security governance access controls Unity Catalog encryption and cloud networking concepts

              Handson experience with performance tuning cost optimization debugging and production support of Databricks workloads

              Good understanding of CICD Git Terraform or equivalent infrastructureascode tools and DevOps practices"

Skills

SQL
AWS
Encryption
Apache
Apache Spark
Azure
Compliance
Databricks
Git
Terraform
Unity
Vault

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