POSITION SUMMARY: The Data Architect is responsible for designing and implementing enterprise data architecture solutions that ensure seamless flow of data across systems for our organization and our customers. This role requires a data professional with capable of implementing modern data architectures while developing expertise in emerging technologies including AI/ML data pipelines, real-time streaming architectures, and data infrastructure to support autonomous agent systems. The Data Architect will design, create, deploy, and manage the organization's data architecture while ensuring data assets are aligned with business goals, secured appropriately, and optimized for both traditional analytics and emerging AI/Agentic workloads.
DUTIES AND RESPONSIBILITIES:
Primary Responsibilities:
- Design and implement secure, scalable, and efficient data architectures on cloud platforms, utilizing modern data lake, data warehouse, and Lakehouse patterns.
- Model datasets to support financial reporting initiatives, analytics, and growing AI/ML workloads.
- Implement data pipelines that support both batch and real-time streaming requirements.
- Build data infrastructure capable of supporting AI/ML model training, inference, and autonomous agent data access.
- Gain hands-on experience with vector database solutions and embedding storage for AI-powered applications.
- Support data mesh and data product initiatives that enable self-service data consumption.
- Learn and implement knowledge graph concepts and semantic layers that support AI reasoning.
- Create data integration processes ensuring seamless flow of data across enterprise systems.
Technical Leadership:
- Work closely with analysts, data scientists, and stakeholders to understand data requirements and translate business needs into robust, scalable data models.
- Implement data governance and quality processes to ensure data integrity and compliance with regulatory standards.
- Support data cataloging, lineage tracking, and metadata management initiatives.
- Learn and apply responsible AI data practices including bias detection, fairness, and explainability considerations.
- Optimize data architectures for high performance, cost efficiency, and operational excellence.
- Collaborate with IT security teams to ensure data architecture aligns with security policies and data protection requirements.
- Collaborate with data engineers and analysts, sharing knowledge on architectural best practices.
Stakeholder Management:
- Collaborate with management, customers, analysts, and IT teams to understand structural requirements.
- Support the definition of standards for storing, consuming, integrating, and managing data across the organization.
- Translate business data requirements into usable architectural blueprints.
- Communicate effectively with stakeholders regarding project status, data implementations, and delivery timeframes.
Other Responsibilities:
- Stay updated on the latest cloud data services, AI/ML data requirements, and emerging data technologies.
- Research data infrastructure requirements for Agentic Architecture and autonomous agent workloads.
- Evaluate vector databases, knowledge graphs, and semantic technologies for AI applications.
- Foster innovative team culture and process improvement during development phases.
- Contribute to organizational data governance and compliance frameworks.
- Other related duties as assigned.
SKILLS AND COMPETENCIES:
- Technical Skills:
- Demonstrated experience with data modeling techniques and warehousing principles, specifically schema design.
- Demonstrated experience with cloud data platforms (e.g. Azure Data Lake, Synapse, Databricks, Snowflake, AWS Redshift, BigQuery).
- Proficiency in SQL and programming languages such as Python, Scala, or Spark for data manipulation and transformation.
- Experience with real-time data streaming platforms (e.g. Kafka, Kinesis, Event Hubs, Pub/Sub).
- Knowledge of data integration patterns including ETL/ELT, CDC, and real-time synchronization.
- Familiarity with vector databases and embedding storage for AI applications, with willingness to learn.
- Experience with data governance tools, data catalogs, and metadata management platforms.
- Exposure to AI/ML data pipeline requirements and willingness to develop expertise in feature engineering practices.
- Awareness of knowledge graph technologies and semantic data modeling.
- Experience implementing data quality, observability, and lineage tracking solutions.
- Leadership and Soft Skills:
- Excellent communication and presentation skills.
- Advanced analytical and problem-solving abilities.
- Ability to work collaboratively with diverse stakeholders across organizational levels.
- Strategic thinking with ability to align data architecture with business objectives.
- Skilled in mentoring others and fostering a culture of learning and growth.
- Ability to translate complex technical concepts for non-technical audiences.
- Intellectual curiosity and commitment to continuous learning.
- Early adopter mindset with proven ability to quickly master emerging technologies.
- Proactive in staying current on emerging technologies relevant to the role.
MINIMUM KNOWLEDGE AND EDUCATION REQUIREMENTS:
- Bachelor's degree in Computer Science, Information Technology, or related field;
- Typically, 5-7 years of experience in data architecture, data engineering, or analytics roles with focus on cloud data platforms.
- Proficient in data modeling techniques and data warehousing principles.
- Solid knowledge of modern cloud data services and their application to analytics workloads.
- Proficiency in SQL and experience with programming languages for data transformation (e.g. Python, Scala, Spark).
- Experience with data governance and quality processes.
- Exposure to AI and machine learning concepts and willingness to develop expertise in how data architecture supports AI initiatives.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
- Master's degree in Computer Science, Data Science, or related field
- Professional certifications in cloud data platforms (e.g. Azure Data Engineer, AWS Data Analytics, Google Cloud Platform Data Engineer, Databricks)
- Desire to specialize in AI/ML data architecture and develop expertise in this growing field
- Exposure to AI/ML data pipelines and feature stores
- Familiarity with vector databases and embedding management for AI applications
- Knowledge of data mesh concepts and data product design
- Awareness of knowledge graph technologies and semantic layer design
- Experience in regulated industries (financial services, healthcare, etc.)
- Familiarity with data privacy regulations (GDPR, CCPA) and compliance frameworks
ESSENTIAL FUNCTIONS
- Ability to report to work in person and to attend work-related functions/activities.
- Ability to work at a desk and use a computer for extended periods.
- Ability to lift, carry, and move objects up to 10 pounds occasionally.
- Ability to occasionally travel as required.
- Ability to type and utilize various software programs efficiently and operate general office equipment.
- Ability to work in an office setting with moderate noise levels.
- Additional physical demands include, but may not be limited to, frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment.
- Must be able to work scheduled hours and overtime as needed.
- Hybrid or remote work arrangements
- This role has been designated as a Remote role, which means the employee will work entirely offsite.
- Exceptions to the designated work arrangement may be made based on business needs.
- Please note that the Company retains the right to change a position s designation at any time.
- Ability to concentrate and focus on details when reviewing documents, analyzing data, and performing computer-based tasks.
- Ability to manage multiple tasks and deadlines while maintaining accuracy and efficiency.
- Ability to problem-solve efficiently and make sound decisions.
- Ability to manage job-related stress and interactions with clients, colleagues, or external parties.
- Ability to communicate ideas clearly in both verbal and written form.
- Ability to work with others in a collegial and collaborative manner.
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
REASONABLE ACCOMMODATION: Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of their position.
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