Urgent hiring - Senior Data Architect
TS/SCI - CI Poly
Onsite in Chantilly Virginia
We offer 2 employee compensation models. Salaried or consultant (w2). Salaries start at 220k and w2 consultant starts at 120 an hour. Salary and/or Hourly rates will increase with experience. Benefits are available such as Health/Dental/Vision/401K/EAP/Life insurance and LTD-STD
Position Description: Data Architect – Data Provenance, Management, and Architecture Design
Position Overview
We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will be responsible for designing, implementing, and governing a robust data infrastructure that ensures data provenance, pedigree, and governance. This role will focus on enabling seamless data access, storage, cataloging, and search capabilities across a multi-component architecture, while also playing a key role in designing a modernized data layer. The Data Architect will lead efforts to implement search federation, fully integrated workflow management systems, and structured data optimization, driving innovation and operational efficiency across the organization.
Key Responsibilities
Data Provenance and Governance
Define and implement strategies for data provenance and data pedigree, ensuring data integrity, traceability, and compliance with regulatory and organizational standards.
Develop and enforce data governance frameworks, policies, and best practices to ensure data quality, security, and consistency across systems.
Collaborate with stakeholders to establish and maintain metadata standards and comprehensive documentation for data lineage and usage.
Data Architecture Design and Implementation
Design and implement scalable, high-performance data architecture solutions to support organizational needs, including data access, storage, cataloging, and search capabilities across a multi-component system.
Architect and implement a modernized data layer that supports seamless data integration, transformation, and consumption for analytics and operational applications.
Lead the development and deployment of search federation solutions to enable unified querying across disparate data sources.
Establish and maintain systems for data cataloging and metadata management, improving the discoverability, accessibility, and usability of organizational data.
Workflow and Process Integration
Design and oversee the implementation of fully integrated workflow management systems to automate and streamline data pipelines and processes.
Collaborate with data engineers, developers, and business stakeholders to ensure workflows are aligned with organizational objectives and operational requirements.
Drive the development of end-to-end workflows for data ingestion, transformation, storage, and analytics.
Structured Data Optimization
Lead efforts to design and optimize systems for managing structured data, ensuring scalability, reliability, and efficiency.
Develop strategies for integrating structured, semi-structured, and unstructured data, enabling a holistic view of organizational data for analytics and reporting.
Evaluate and implement modern tools and methodologies for structured data modeling, database optimization, and query performance tuning.
Collaboration and Leadership
Partner with data scientists, engineers, software architects, and business analysts to align data architecture with organizational goals.
Provide technical leadership and mentorship to team members, promoting best practices in data architecture and governance.
Stay current with emerging trends and technologies in data architecture, data management, and analytics, and integrate innovative solutions into the organization’s data strategy.
Required Qualifications
Bachelor's or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. A Ph.D. is a plus.
Proven experience as a Data Architect, with a strong focus on designing and implementing scalable data architectures in large, complex environments.
Extensive experience with data governance, data provenance, and data lineage frameworks and tools.
Expertise in modern data storage technologies (e.g., cloud platforms, data lakes, data warehouses) and distributed systems.
Strong knowledge of data cataloging tools, metadata management, and search technologies (e.g., Elasticsearch, Apache Solr).
Hands-on experience in designing and implementing search federation solutions and workflow automation systems.
Strong proficiency in structured data modeling, relational database systems (e.g., SQL), and modern database technologies (e.g., NoSQL, graph databases).
Experience with APIs, microservices architecture, and distributed systems design.
Proficiency in data engineering and programming languages such as Python, Java, or SQL, and familiarity with data processing frameworks such as
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