Data Architect for Enterprise AI & Analytics

The Aerospace Corporation; Chantilly (VA); On-site; USD 156,000 - 234,000; Full time

Benefits offered by this job

Relocation assistance

401(k) plan

Job summary

The Aerospace Corporation seeks an experienced Data Architect to design, govern, and modernize enterprise data capabilities across a complex technical environment. You will develop scalable data architectures, enable trusted analytics, and support the organization’s digital transformation goals.

You’ll work with mission, business, engineering, cybersecurity, and IT stakeholders to translate enterprise needs into durable data architecture patterns and solutions, ensuring governance and security

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, SW Engineering, Information Systems, or related field (or equivalent work experience).
• 7+ years of experience in data engineering, data architecture, or data operations.
• Significant experience designing enterprise data architectures in complex organizations.
• Strong knowledge of data modeling, data integration, metadata management, data quality, and data governance.
• Experience with modern data platforms such as cloud data warehouses, data lakes, lakehouses, relational databases, NoSQL stores, or distributed processing platforms.
• Experience designing APIs, data pipelines, data exchange patterns, or integration architectures.
• Working knowledge of security, access control, compliance, and data protection principles.
• Demonstrated ability to produce architecture artifacts, technical standards, and implementation roadmaps.

Responsibilities

• Develop and maintain enterprise data architecture frameworks, reference architectures, design patterns, and standards.
• Define target-state data architectures that support analytics, AI/ML, digital engineering, mission applications, and enterprise reporting.
• Assess current-state data environments, identify gaps, and develop practical roadmaps for modernization.
• Design architectures for structured, semi-structured, and unstructured data across cloud, on-premises, hybrid, and classified networks.
• Design conceptual, logical, and physical data models for enterprise and mission systems.
• Support integration across legacy systems, data platforms, software factories, analytics environments, and business applications.
• Ensure architecture decisions align with governance, security, compliance, privacy, and mission requirements.
• Advise on data platform capabilities, including data lakes, warehouses, lakehouses, catalogs, pipelines, streaming platforms, knowledge graphs, and API layers.
• Architect data foundations that enable reliable AI/ML development, model training, retrieval-augmented generation, advanced analytics, and operational decision support.
• Translate technical architecture concepts into clear guidance for executives, program leaders, engineers, analysts, and data owners.
• Facilitate architecture reviews, working groups, and design sessions.
• Produce clear architecture artifacts, including diagrams, roadmaps, standards, decision records, and implementation guidance.

Skills

Data modeling

Data integration

Metadata management

Data quality

Governance

APIs design

Security/compliance

Enterprise data architectures

Communication with stakeholders

Problem solving

Education

Bachelor's degree in Computer Science/Engineering

Tools

Databricks

Snowflake

PostgreSQL

Neo4j

Kafka

Airflow

dbt

Collibra

Alation

Informatica

Job description

The Aerospace Corporation seeks an experienced Data Architect to design, govern, and modernize enterprise data capabilities across a complex technical environment. You will develop scalable data architectures, enable trusted analytics, and support the organization’s digital transformation goals.

You’ll work with mission, business, engineering, cybersecurity, and IT stakeholders to translate enterprise needs into durable data architecture patterns and solutions, ensuring governance and security