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# Data Architect - Databricks Lakehouse Migration

- **Company:** Data Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Architectural Patterns, Microsoft Azure, Big Data, Databases, Data Architecture, Extract Transform Load (ETL), Role-Based Access Control, SQL Databases, Tokenization, Data Classification, Data Lakes, Terraform, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7bc69db4a79067b9

## About the Role

* 5+ years of data architecture experience
 * At least one large-scale data warehouse-to-cloud migration (100+ tables)
 * Hands-on experience with Azure Databricks and Unity Catalog
 * Production experience with data tokenization, masking, or format-preserving encryption
 * Strong knowledge of Delta Lake and medallion architecture patterns
 * SQL fluency and schema mapping across heterogeneous database platforms
 * Experience defining data classification schemes and mapping to technical controls

Preferred Qualifications

 * Experience with Protegrity Database Protector (or Vormetric, Voltage, or similar)
 * Financial services or regulated industry background (GLBA, NCUA, FFIEC)
 * Experience designing detokenization access models tied to identity/RBAC systems
 * Familiarity with Purview or similar data catalog/classification tool
 * Terraform or Databricks Asset Bundles experience
 * Databricks Certified Data Engineer or Data Architect certification

## Description

We are seeking an experienced Data Architect to lead the migration of 158 tables from an on-premise data warehouse into a governed Azure Databricks lakehouse. This is a hands-on architecture-and-delivery role - you will own the target data model design, tokenization boundary, medallion architecture, Unity Catalog governance, and migration execution from planning through validation.

This engagement involves sensitive financial data in a regulated environment, requiring data to be tokenized at the source before it leaves the on-premise environment.

Responsibilities

 * Design the target Databricks/Unity Catalog architecture: catalog/schema structure, medallion zone mapping (bronze/silver/gold), and table-level ownership
 * Classify source tables and columns for sensitivity (PII, NPI, account numbers) and map each to a tokenization policy
 * Design the tokenization boundary ensuring sensitive fields are tokenized on-premise before any data movement to Azure
 * Produce migration sequencing plan with wave grouping, dependency ordering, and cutover criteria
 * Define source-to-target data model including schema transformation, type mapping, and reconciliation approach
 * Design detokenization access model: authorized roles, service identities, and conditions mapped to Unity Catalog grants
 * Establish data quality and validation gates between source and target for each migration wave
 * Produce compliance documentation and as-built architecture runbooks


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