We are seeking a hands-on Data Architect who will lead the design and development of our robust data architecture, driving business growth and operationalizing AI. The ideal candidate will possess deep expertise in data engineering, cloud platforms, and data governance, and will play a pivotal role in preparing our portfolio companies for the adoption of advanced technologies.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Minimum of 8+ years of experience as an Enterprise Data Architect or similar role.
Deep expertise in data engineering, data warehousing, data lakes, and cloud-based data platforms (AWS, Azure, GCP).
Strong understanding of data modeling, data integration, and data governance principles.
Hands-on experience with data integration and ETL/ELT tools.
Experience with data streaming technologies (e.g., Kafka, Kinesis).
Proven ability to design and implement scalable and resilient data architectures.
Experience preparing data for machine learning and AI applications.
Experience with agentic architectures a strong plus.
Excellent communication, presentation, and interpersonal skills.
Experience working with portfolio companies, or within a consulting environment is a plus.
Benefits
Competitive salary
Comprehensive benefits package
Opportunities for professional growth and development