Data Architect - Generative AI & Digital Automation -Full Time Role

Job Title: Data Architect - Generative AI & Digital Automation

Location: Tarry Town, NY

Employment Type: Full-Time

Mode of work: Hybrid (3 days in office in Tarry Town, NY)

Overview

Seeking a Data Architect to design, develop, and implement cutting-edge solutions leveraging generative AI technology, integration and Digital automation. The ideal candidate will play a pivotal role in architecting scalable, secure, and efficient applications that transform business processes, enhance decision-making, and deliver measurable value. This role requires a good understanding of architecture, AI/ML frameworks, Cloud, and modern automation tools, combined with a passion for solving complex problems.

Key Responsibilities

Data Architecture:

• Design, develop, and implement comprehensive enterprise data strategies, data models and architectures, including data modeling (conceptual, logical), database structures, data warehouses, and data lakes.
• Analyze structural (data) requirements for applications
• Optimize information systems and database systems for performance, scalability, and integrity.
• Define and implement data standards, security procedures, data governance policies, and backup procedure.
• Collaborate with stakeholders, development teams, data scientists, data engineers, and other IT professionals to understand requirements, implement solutions, and ensure data needs are met.
• Evaluate and database management technologies, data integration tools, and emerging data technologies.
• Create and maintain data models.
• Troubleshoot data-related technical issues.
• Ensure data quality, integrity, security, and compliance with relevant regulations.

Technical Leadership:

• Provide technical guidance to development teams during implementation, ensuring adherence to architectural standards.
• Conduct reviews, performance tuning, and troubleshooting of complex issues.

Collaboration & Innovation:

• Work closely with cross-functional teams (e.g., data science, DevOps, security) to ensure seamless deployment and operation of solutions.
• Identify opportunities to leverage emerging technologies to improve existing systems.
• Contribute to proofs-of-concept (PoCs) and pilot projects to validate new ideas.

Compliance & Security:

• Ensure solutions comply with industry standards, data privacy regulations (e.g., GDPR, CCPA), and security best practices.
• Design systems with robust authentication, encryption, and auditability features.

Qualifications

• Experience/Knowledge:
• 10 years of experience in data architecture, software engineering, or a related role.
• Proven expertise in designing and deploying applications with generative AI technologies (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Hands-on experience with intelligent document processing.
• Strong background in automation technologies.
• Experience with cloud platforms (AWS)
• Experience with Streaming Data Integration / Event-Driven Integration
• Expertise in processing large amounts of diverse data types, including structured, semi-structured, and unstructured data.
• Familarity with Data Federation & Data Virtualization
• Hands-on experience in ensuring data privacy, security (e.g., encryption, access control), and compliance with regulations, particularly when dealing with potentially sensitive data used in AI models.
• Experience in architecting and optimizing Retrieval-Augmented Generation (RAG) pipelines, including, integrating vector databases and complex data retrieval logic.
• Technical Skills:
• Proficiency in Python, Databricks, NoSQL, Vector & Graph databases
• Familiarity with Python
• Familiarity with AI/ML frameworks, APIs, and model deployment
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Knowledge of data pipeline tools (e.g., Apache Kafka, Airflow).
• Understanding of DevOps practices as in relates to Data (e.g. Data Pipelines)
• Proficiency in analyzing data requirements for new software and applications.
• Soft Skills:
• Exceptional problem-solving and analytical skills.
• Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, agile environment.