

Quantum World Technologies Inc.
AWS Databricks Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Databricks Architect in Raritan, NJ, on a contract basis. Requires 10+ years of experience in data engineering, expertise in Databricks, AWS, and Azure services, and strong knowledge of Apache Spark and data governance practices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Raritan, NJ
-
🧠 - Skills detailed
#Data Governance #Scala #ADF (Azure Data Factory) #Data Security #Azure #IAM (Identity and Access Management) #VPC (Virtual Private Cloud) #Compliance #Synapse #Databricks #PySpark #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #Data Engineering #Leadership #Storage #Terraform #"ETL (Extract #Transform #Load)" #Data Science #BI (Business Intelligence) #Vault #DevOps #Data Architecture #Deployment #Monitoring #Delta Lake #SQL (Structured Query Language) #GIT #Azure Data Factory #ADLS (Azure Data Lake Storage) #Debugging #Big Data #Spark SQL #Cloud #Apache Spark #Security #Azure cloud #Infrastructure as Code (IaC) #Spark (Apache Spark) #AWS (Amazon Web Services)
Role description
Role: AWS Databricks Architect
Location: Raritan, NJ (Onsite)
Experience: 10 or more year
s
Mandatory skills: Databric
ks
Role summa
ry: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 implementati
ons
Key responsibilit
• ies:Design and architect end to end Databricks Lakehouse solutions across AWS and along with Azure preferably environm
• entsDefine scalable data architecture patterns for ingestion transformation storage analytics and reporting workl
• oadsLead implementation of Delta Lake medallion architecture Databricks SQL Unity Catalog and workflow orchestra
• tionOptimize Apache Spark jobs clusters notebooks pipelines and workloads for performance reliability and cost effici
• encyImplement security access control secrets management data governance and compliance best practices across cloud platf
• ormsCollaborate with data engineering BI data science DevOps and business teams to deliver highquality data solut
• ionsGuide CICD infrastructure as code monitoring and production deployment practices for Databricks workl
• oadsProvide technical leadership architecture reviews troubleshooting support and mentoring to project t
eams
Mandatory sk
• ills:12 plus years of experience in data engineering data architecture or big data platform implementation in AWS cloud platform and knowledge in Azure platform as
• wellStrong hands-on experience with Databricks platform architecture workspace setup cluster configuration jobs notebooks and workflow orchestr
• ationExpertise in AWS services such as S3 IAM VPC Glue Lambda CloudWatch and related data platform ser
• vicesExpertise in Azure services such as ADLS Azure Data Factory Azure Synapse Key Vault Entra ID and Azure Mo
• nitorStrong knowledge of Apache Spark PySpark SQL Delta Lake and Lakehouse architecture con
• ceptsExperience with data security governance access controls Unity Catalog encryption and cloud networking con
• ceptsHands-on experience with performance tuning cost optimization debugging and production support of Databricks work
• loadsGood understanding of CICD Git Terraform or equivalent infrastructure as code tools and DevOps prac
tices
Role: AWS Databricks Architect
Location: Raritan, NJ (Onsite)
Experience: 10 or more year
s
Mandatory skills: Databric
ks
Role summa
ry: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 implementati
ons
Key responsibilit
• ies:Design and architect end to end Databricks Lakehouse solutions across AWS and along with Azure preferably environm
• entsDefine scalable data architecture patterns for ingestion transformation storage analytics and reporting workl
• oadsLead implementation of Delta Lake medallion architecture Databricks SQL Unity Catalog and workflow orchestra
• tionOptimize Apache Spark jobs clusters notebooks pipelines and workloads for performance reliability and cost effici
• encyImplement security access control secrets management data governance and compliance best practices across cloud platf
• ormsCollaborate with data engineering BI data science DevOps and business teams to deliver highquality data solut
• ionsGuide CICD infrastructure as code monitoring and production deployment practices for Databricks workl
• oadsProvide technical leadership architecture reviews troubleshooting support and mentoring to project t
eams
Mandatory sk
• ills:12 plus years of experience in data engineering data architecture or big data platform implementation in AWS cloud platform and knowledge in Azure platform as
• wellStrong hands-on experience with Databricks platform architecture workspace setup cluster configuration jobs notebooks and workflow orchestr
• ationExpertise in AWS services such as S3 IAM VPC Glue Lambda CloudWatch and related data platform ser
• vicesExpertise in Azure services such as ADLS Azure Data Factory Azure Synapse Key Vault Entra ID and Azure Mo
• nitorStrong knowledge of Apache Spark PySpark SQL Delta Lake and Lakehouse architecture con
• ceptsExperience with data security governance access controls Unity Catalog encryption and cloud networking con
• ceptsHands-on experience with performance tuning cost optimization debugging and production support of Databricks work
• loadsGood understanding of CICD Git Terraform or equivalent infrastructure as code tools and DevOps prac
tices






