Data Architect

Jobtailor; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking a Senior Data Architect to lead federal data strategy and modernization efforts in a cloud-first environment. You will shape enterprise data architectures, govern data assets, and guide migration programs across complex government systems.

The role emphasizes Databricks Lakehouse design, Unity Catalog, data governance, and cross-team collaboration, with a focus on secure, scalable data platforms and FinOps practices.

Qualifications

• Senior-level experience (5+ years) in data architecture, data strategy, and data modernization within federal government.
• Experience developing enterprise, data, and solution architectures.
• Experience defining authoritative data sources, metadata standards, common data models, governance standards, and integration patterns.
• Experience designing Databricks Lakehouse environments, including Unity Catalog, data zones, and workspaces.
• Experience supporting data migration and legacy-to-modern system transitions.
• Experience designing enterprise data models, integration patterns, and governance standards.

Responsibilities

• Design enterprise data strategy, models, and integration patterns.
• Define governance standards.
• Lead data modernization and cloud architecture initiatives.
• Develop enterprise architecture, data architecture blueprints, system inventories, solution architecture, governance standards, decommissioning strategy, and FinOps practices.
• Lead architecture reviews.
• Develop migration strategies and reconciliation processes.
• Define metadata standards, stewardship practices, data lineage, and authoritative data sources.
• Design APIs, integrations, ICDs, and ETL/ELT pipelines.
• Perform interface remediation and integration testing.
• Support Databricks Lakehouse architecture, security design, data models, migration frameworks, reporting, and analytics.
• Provide training, SOPs, workshops, shadowing sessions, documentation, and repository management.

Skills

Data Architecture

Databricks Lakehouse

Enterprise Data Strategy

Governance Standards

Cloud Architecture

Data Modernization

Integration Patterns

Metadata Standards

Data Migration

Solution Architecture

Data Lineage

API Design

FinOps Practices

System Inventories

Problem-Solving

Documentation

Presentation

Education

Bachelor's degree in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or related field

Tools

Databricks

Unity Catalog

Cloud Data Platforms

Job description

• Design enterprise data strategy, models, and integration patterns
• Define governance standards
• Lead data modernization and cloud architecture initiatives
• Develop enterprise architecture, data architecture blueprints, system inventories, solution architecture, governance standards, decommissioning strategy, and FinOps practices
• Lead architecture reviews
• Develop migration strategies, plans, timelines, crosswalks, mapping rules, trial migrations, and reconciliation processes
• Define metadata standards, stewardship practices, data lineage, and authoritative data sources
• Design APIs, integrations, interface control documents (ICDs), and ETL/ELT pipelines
• Perform interface remediation and integration testing
• Support Databricks Lakehouse architecture, security design, common data models, migration frameworks, reporting, and analytics
• Provide training, SOPs, workshops, shadowing sessions, documentation, and repository management

Requirements

• Senior-level experience (5+ years) of progressive federal government experience in data architecture, data strategy, and data modernization
• Experience developing enterprise, data, and solution architectures
• Experience defining authoritative data sources, metadata standards, common data models, governance standards, and integration patterns
• Experience designing Databricks Lakehouse environments, including Unity Catalog, data zones, and workspaces
• Experience supporting data migration and legacy-to-modern system transitions
• Experience designing enterprise data models, integration patterns, and governance standards
• Experience leading projects in Databricks and cloud data platforms
• Knowledge of data within federal systems related to human resources and financial management
• Problem-solving, documentation, and presentation skills
• Bachelor's degree in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline, or equivalent experience

Core Competencies

Demonstrates expertise in designing enterprise data strategies, architectures, and governance standards, with a strong focus on Databricks Lakehouse environments and cloud data platforms. Proven ability to lead data modernization initiatives and develop comprehensive migration strategies within federal systems.

Highest-signal resume keywords

• Data Architecture
• Databricks Lakehouse Design
• Enterprise Data Strategy
• Governance Standards
• Cloud Architecture

ATS Optimization Keywords

Hard Skills

• Data Modernization
• Integration Patterns
• Metadata Standards
• ETL/ELT Pipeline Design
• Data Migration
• Solution Architecture
• Data Lineage
• API Design
• FinOps Practices
• System Inventories

Soft Skills

• Problem-Solving
• Documentation
• Presentation

Industry Keywords

• Federal Government Experience
• Human Resources Data
• Financial Management Data

Tools & Technologies

• Databricks
• Cloud Data Platforms
• Unity Catalog