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# Data Architect

- **Company:** Capgemini
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $123,344.0 - $192,712.0
- **Contract:** Temporary contract
- **Skills:** Computing Platforms, Authentication Protocols, Cloud Database, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Identity and Access Management, Key Management, Meta-Data Management, Azure Data Lake, Systems Integration, Enterprise Data Management, Data Ingestion, Apache Spark, Data Lakes, Data Lakehouse, Terraform, Data Pipelines, Databricks
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9372ffdd9a7b59d6

## About the Role

* Extensive experience architecting and administering Azure Databricks environments.
 * Experience designing enterprise-scale data lakehouse and modern data platform solutions.
 * Strong understanding of cloud-based data architecture, security, and governance principles.
 * Experience working with cross-functional teams including engineering, infrastructure, security, and business stakeholders.
 * Strong problem-solving, architecture, and communication skills.

## Description

Databricks Lakehouse Architecture, Medallion Data Model, Semantic/Platinum Layer Design, Data Governance
Azure Databricks
hld
terraform
Data Orchestration
CI / CD pipeline
lld
Databricks, ADLS, Unity Catalog, Apache Spark
Data Lakehouse, The Databricks Architect is responsible for designing, implementing, and governing enterprise data platforms on Azure Databricks. This role leads platform architecture, workspace provisioning, data lake design, security controls, metadata management, and source system integration to enable scalable, secure, and governed analytics and data engineering capabilities., * Design Azure Databricks workspace architecture, compute environments, networking, and private-access configurations.

 * Define enterprise data lake architecture, including Bronze, checkpoint, archive, and quarantine zones.
 * Establish data orchestration patterns, catalog structures, governance frameworks, and platform standards.
 * Develop high-level and low-level solution designs (HLD/LLD).
 * Lead deployment and configuration of Databricks environments using approved automation frameworks.
 * Implement security, governance, and access controls utilizing Unity Catalog and Azure Key Vault.
 * Configure and secure ADLS Gen2 storage, private endpoints, retention policies, and access management.
 * Design and validate source system connectivity, authentication mechanisms, and data ingestion frameworks.
 * Define cluster, runtime, operational, performance, and security standards for the platform.
 * Collaborate with engineering, infrastructure, security, and business stakeholders to support platform adoption.
 * Support testing, validation, troubleshooting, and production readiness activities.