Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)
Skills
Auditing
Cloud Architecture
Cloud Computing
Data Architecture
Data Processing
Job Details
We are looking for Senior Databricks Architect for our client in Seattle, WA
Job Title: Senior Databricks Architect
Job Type: Contract
Job Description:
Pay Range: $95hr - $100hr
- Strong solution architect with experience in end-to-end solution on databricks across Azure and have implemented Lakehouse strategies, data pipeline governance.
- Designed and implemented security solutions and best practices.
- Hands on experience in providing scalable solution leveraging the complete databricks medallion architecture and technology stack including Delta lake , Unity catalog , ML flow and Databricks SQL.
- Has experience in implementation of Unity catalog for centralized governance , lineage and data discovery
- Develop and monitor effective solutions to optimize sizing, autoscaling and cost.
- Responsible to provide technical guidance and direction in defining the data architecture strategy
- Hands on experience on Azure cloud IaaS, PaaS Architect, Design, engineering & solid understanding of native Cloud architecture/On-Prem networking
- Experience in migrating On-premises database to Azure SQL Database, SQL Managed instance, SQL Elastic pool on Azure & SQL server in Azure VM.
- Proficient in Python coding and frameworks knowledge.
- Configure Databricks Cluster, and Unity Catalog repository.
- Responsible for Solutioning, Administration, Configuration, and Optimization of Azure Databricks platform.
- Build large-scale batch and real-time data pipelines with data processing frameworks with Databricks technology in Azure cloud platform.
- Landing zone architecture for Databricks: accounts, workspaces, UC metastore(s), external locations, storage hierarchy, and networking.
- Security & compliance design (e.g., PII/PHI handling, audit, retention) aligned to enterprise and regulatory needs.
- Sizing & capacity recommendations (clusters, pools, serverless/DBR runtimes, model serving).
- Data protection: storage firewalling, encryption at rest/in transit, token lifecycles, PAT policy.
- Cluster policies (standardized node families, autoscaling, spot/preemptible usage policy), pools, serverless enablement (where applicable).
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