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Data Architect
Job Description
Data Architect
Clearance: Must be eligible for a US Security Clearance (US Citizenship required)
Location: Reston, VA (Hybrid model)
As a Finch AI Data Architect, you will occupy a crucial strategic position that transcends traditional data engineering roles. This role demands a broad vision and deep technical expertise in data architecture, essential for aligning our data infrastructure with the overarching goals of the enterprise.
The ideal candidate will have a deep understanding of technologies and methodologies for processing, analyzing, and extracting value from text-based data sources, moving beyond traditional SQL-centric approaches. You will be responsible for designing and maintaining scalable, secure data solutions that effectively integrate with AI technologies, driving the success of our products and services across various sectors. This position calls for a seasoned professional who can analyze and determine the value of diverse data sets and ensure their optimal contribution to our AI applications. As a Data Architect, you will be pivotal in shaping our data strategy, governance, and architecture, making this an ideal role for someone with a passion for leadership and innovation in the realm of AI and data management. Your expertise will guide the development of scalable, efficient systems that enhance our ability to understand and utilize data in its most natural forms, powering the next generation of AI solutions.
Responsibilities:
- Data Architecture Development: Design and implement data architectures that efficiently handle large volumes of unstructured, text-based data, including natural language processing (NLP) systems.
- Text Data Processing and Analysis: Develop and oversee methodologies for text data extraction, processing, and analysis, utilizing technologies such as Elasticsearch, Solr, or custom NLP tools.
- AI Integration: Optimize data systems for AI performance, ensuring seamless integration with AI applications. Implement and manage data storage solutions optimized for unstructured data, focusing on performance, reliability, and cost-effectiveness.
- Strategic Data Governance: Lead strategic initiatives for data governance, management, and architecture.
- Data Value Analysis: Analyze data sets critically to assess their value and contribution to AI applications.
- Cross-Functional Collaboration: Collaborate with senior leadership to align the data architecture strategy with business objectives, emphasizing the value of unstructured data.
- Technical Guidance and Leadership: Provide technical leadership and guidance to data engineering teams.
- Innovation and Research: Keep abreast of the latest trends and technologies in unstructured data management and analysis, ensuring our approaches remain cutting-edge.
- Performance Monitoring and Optimization: Monitor and optimize the performance of data architectures.
- Compliance and Security: Ensure data solutions comply with industry standards and security regulations.
- Problem-Solving and Decision Making: Address complex challenges in data architecture with strategic and innovative solutions.
Technical Skills Requirements:
- System Architecture Expertise: Extensive knowledge of data architecture and systems, capable of designing scalable and secure data solutions.
- Unstructured Data Expertise: Extensive experience with unstructured, text-based data, including processing, analysis, and storage solutions.
- AI Integration Skills: Strong understanding of AI principles and their application in data system architecture.
- Technical Proficiency: Hands-on experience with NLP, Elasticsearch, Solr, or similar technologies tailored for text data management and analysis.
- Strategic Leadership: Proven ability to drive data strategy and governance to support AI initiatives.
- Critical Data Analysis: Proficiency in evaluating data sets for their potential impact on AI applications.
- Advanced Technical and Industry Knowledge: Up-to-date knowledge of the latest trends in AI and data management.
- Experience: Significant experience in data architecture, preferably in an AI-focused environment.
- Communication and Collaboration: Exceptional communication skills, with the ability to effectively collaborate with both technical and non-technical teams.
- Innovative Problem-Solving: Ability to address complex architectural challenges with innovative solutions.
- Project Management and Leadership: Strong project management skills and experience in leading cross-functional teams.
Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
ABOUT FINCH AI
Finch AI is a fast-growing, fast-paced software development organization; our mission is to build new ways of interacting with information. We do that by leveraging game-changing intellectual property, cloud infrastructure expertise, and a staff that is second to none. Together, we build and support products that address complex, real-time data and analytics needs in the enterprise.
Our teams are comprised of successful people that enjoy solving problems, engaging in substantive technical discussions and have passion for their work. We have very high expectations in terms of skill, motivation, self-organization and productivity. We look for people who excel working in groups, virtual and collocated, as well as those who are comfortable with fast paced agile development.
Finch AI is an equal opportunity employer.
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