Extend Information Systems Inc.

AWS Databricks Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Databricks Architect" based in Raritan, NJ, on a long-term contract. Requires 12+ years in data engineering, strong Databricks and AWS/Azure expertise, and skills in data governance, performance tuning, and CI/CD practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raritan, NJ
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🧠 - Skills detailed
#PySpark #Data Architecture #Deployment #Leadership #Scala #Security #Storage #Lambda (AWS Lambda) #Terraform #Vault #Azure Data Factory #Databricks #Synapse #ADF (Azure Data Factory) #Monitoring #BI (Business Intelligence) #Azure #Big Data #Delta Lake #Data Science #Compliance #DevOps #Spark (Apache Spark) #Data Governance #SQL (Structured Query Language) #VPC (Virtual Private Cloud) #ADLS (Azure Data Lake Storage) #Data Security #Apache Spark #IAM (Identity and Access Management) #Data Engineering #S3 (Amazon Simple Storage Service) #Debugging #Spark SQL #Azure cloud #Cloud #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #GIT
Role description
Role: AWS Databricks Architect Location: Raritan, NJ (Onsite) Duration: Long Term Contract Job Description: 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 with 10 years of experience The ideal candidate will provide technical leadership in data architecture platform engineering data governance performance optimization and enterprise grade Databricks implementations Key Responsibilities • Design and architect end to end Databricks Lakehouse solutions across AWS and along with Azure preferrably 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 ing and production deployment practices for Databricks workloads • Provide technical leadership architecture reviews troubleshooting support and mentoring to project teams Mandatory Skills • 12+ 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 Mandatory Skills: Databricks