Databricks Architect

Wissen Infotech
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Access Amazon Web Services Cloud Database Data Architecture Data Governance Data Integration Data Security Identity and Access Management Performance Tuning Role-Based Access Control Azure Machine Learning Enterprise Data Management
+7 more
Technical Debt Data Lakes Data Management Machine Learning Operations Cloud Optimization Data Pipelines Databricks

Job description

We are seeking an experienced Databricks Architect with strong AWS expertise to design the enterprise-scale data platforms using Databricks and modern cloud data architecture principles.

The ideal candidate will have deep expertise in Databricks Lakehouse, Delta Lake, Unity Catalog, data modeling, security, orchestration, and MLOps/feature store architecture, along with the ability to translate architecture into scalable, production-ready implementations.

This role goes beyond solution design you will be responsible for architecture, design-to-build execution, cross-domain decision-making, standards enforcement, scalability, and technical debt management.

Required Technology

  • Databricks: Lakehouse, Delta Lake, Unity Catalogue
  • AWS Cloud: Strong hands-on architecture experience
  • Medallion Architecture
  • Enterprise Data Modeling Standards
  • Data Security & Access Architecture
  • Data Governance & Architecture Standards
  • Orchestration & Pipeline Tooling
  • MLOps & Feature Store Architecture
  • Data integration and enterprise data platform architecture
  • Performance, scalability, reliability, and cost optimization

Requirements

WORK AUTHORIZATION: CANDIDATES MUST BE AUTHORIZED TO WORK IN THE UNITED STATES WITHOUT CURRENT OR FUTURE SPONSORSHIP., * 10+ years of experience in Data Architecture / Cloud Data Architecture

  • Strong hands-on experience with Databricks and AWS
  • Experience designing enterprise Lakehouse architectures.
  • Strong understanding of Delta Lake and Unity Catalog
  • Experience implementing Medallion Architecture
  • Strong data modeling and data governance background
  • Experience with enterprise security, IAM, RBAC, and access-control architecture.
  • Experience with data orchestration and modern data pipelines.
  • Knowledge of MLOps, ML platforms, and Feature Stores
  • Strong understanding of cloud cost optimization and performance tuning
  • Excellent communication, stakeholder management, and technical leadership skills

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Good distractions

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