Enterprise Data Platform/ Databricks Architect

Epik Solutions
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$145,600.0 - $166,400.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Continuous Integration Data Sharing Data Structures Data Virtualization Data Flow Control Graph Database Unstructured Data Enterprise Data Management Google Cloud Cloud Platform System
+7 more
Multi-Cloud Data Lakes Apache Kafka Terraform Oracle Cloud Infrastructure Serverless Computing Databricks

Job description

  • This must be an Architect level profile designing Gold Layer and Semantic models for Enterprise Data Lakehouse.

Requirements

  • Powerful communication is necessary since this person will be discussing and solutioning all the data requirements across the organization and outside the org too.
  • Strong knowledge of Enterprise Data Modeling and Design for Structured and Unstructured Data.
  • Conceptual understanding of Delta Lake and Lakehouse
  • Understanding of AI data needs with knowledge of Vector stores and Graph databases.
  • Knowledge of Data sharing solutions and technologies; internal and external
  • Hands-on skill necessary with Past coding background and knowledge of all types of data structures
  • Knowledge of Data virtualization, federation, governance, cataloging and management
  • Architect cloud-native platforms using Terraform, GCP, Kafka, and Dataflow
  • Implement CI/CD and serverless frameworks to improve scalability and reliability
  • Managed multi-cloud architecture leveraging OCI, Azure, AWS and GCP services

Benefits & conditions

4.24.2 out of 5 stars Remote $70 - $80 an hour - Contract, Pulled from the full job description

  • 401(k)
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance, * 401(k)
  • Dental insurance
  • Life insurance
  • Paid time off
  • Vision insurance

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:32 min

Overview of Terraform and Terraform Cloud features

Devlin Duldulao · LIVE

3:38 min

Architecting a unified data and machine learning workbench

Kapil Gupta Kapil Gupta · World Congress 2025

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