Enterprise Data Architect

We are seeking an Enterprise Data Architectto guide the design development and governance of enterprise data architectures across complex mission environments. This role combines hands-on architecturalexpertisewith team leadership oversight of data modeling and integration patterns and cross-functional coordination with engineering analytics AI and product teams. The Data Architecture Team Lead ensures that data is modeled structured governed and integrated in ways that maximize interoperability usability and long-term platform scalability.

• Lead a team of Data Architects and Data Engineers in designing conceptual logical and physical data models that support analytics AI/ML operational applications and enterprise integration needs.

• Develop andmaintaincanonical data models semantic layers metadata structures and domain-oriented schemas aligned with enterprise data strategies.

• Guidethe adoption of modern architectural patterns includinglakehouse data mesh data fabric domain-driven design and event-driven integration.

• Establish standards for data modeling schema evolution semantic consistency and data contract design across teams and systems.

• Partner with Data EngineeringMLOps/LLMOps and AI Development teams to ensure dataarchitecturessupport scalable pipelines feature engineering and high-performing ML/AI workloads.

• Conduct data architecture reviews ensuring alignment with enterprise reference architectures security principles performance expectations andmodernizationroadmaps.

• Lead integration strategy across platforms including API-driven data access streaming and event frameworks CDC pipelines virtualization layers and metadata-driven automation.

• Work with mission stakeholders product teams and UX researchers to translate requirements into well-designed data structures that support workflows and decision-making.

• Oversee governance-aligned design practices including lineage cataloging data quality frameworks tagging strategies and Zero Trust data-access patterns.

• Mentor Data Architects and senior Data Engineers elevating architectural thinking modeling capabilities and technical decision-making across the team.

• Evaluate emerging technologiesmetadata platforms data modeling tools data virtualization engines event brokersand guide strategic adoption.

• Contribute to reusable architectural artifacts including reference models standards playbooks integration patterns and platform design templates.

• Support pre-sales and proposal efforts by defining solution architectures estimating delivery complexity and articulating modernization strategies.

• You will contribute to the growth of our AI & Data Exploitation Practice!

• Ability to hold a position of public trust or higher clearance as.

• Bachelors orMasters degree in Computer Science Data Engineering Information Systems Data Architecture ora relatedtechnical field.

• 8 years of experience in data architecture data engineering or enterprise information architecture roles.

• Strong experience designing conceptual logical and physical data models for analytical transactional or domain-driven applications.

• Proficiencywith modern data platforms and architectural patterns includinglakehouse data warehouse data mesh streaming architectures and multi-cloud ecosystems (AWS Azure GCP).

• Hands-on experience with modeling and metadata tools (e.g.ERWin ER/Studiodbt Collibra Alation Atlan or similar).

• Understanding ofdistributed computing frameworks (Spark Databricks) relational/NoSQL databases and cloud-native storage/compute layers.

• Experience designing data integration approaches such as ETL/ELT pipelines streaming (Kafka/Kinesis/EventHub) CDC API integration and virtualization.

• Knowledge of data governance metadata management lineage data quality and Zero Trust architecture principles.

• Ability to guide cross-functional teamsfacilitatedesign sessions and influence architectural decisions across programs.

• Strong communicationskills capable of translating architectural concepts for technical and non-technical stakeholders including executive audiences.

• Mentoring experience anda demonstratedability to guide the growth of junior and mid-level architects/engineers.
• Preferred certifications:

• • CompTIA Network
  • AWS Solutions Architect Associate or Professional
  • Azure Data Engineer or Solutions Architect certifications
  • Google Professional Data Engineer
  • Databricks Data Engineer Professional
  • TOGAF DAMA CDMP or enterprise architecture certifications

Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $135000 to $165000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

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Steampunk is a Change Agent in the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through our Human-Centered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit .