Research Data Architect

Responsibilities

• Define and evolve target data architecture for economic data systems.
• Design scalable storage for billions of time-series observations and historical revisions.
• Develop and standardize metadata schemas for discoverability, lineage, and governance.
• Implement scalable data processing frameworks for growing datasets.
• Improve indexing and metadata strategies to enhance search and discovery.
• Enable advanced analytical capabilities for researchers and developers.
• Partner with architects to optimize data access patterns for APIs and applications.
• Optimize current-state architecture including SQL tuning, indexing, and performance.
• Design future-state architecture, migration strategies, and tool recommendations.
• Support the addition of new datasets and integration of AI capabilities.

Requirements

• 7+ years in data architecture, data engineering, or database design with enterprise cloud data implementations in regulated environments.
• Experience designing secure, scalable, and high-availability public-facing platforms.
• Cloud data architecture on AWS, including ingestion, processing, storage, and exposure of data.
• Expertise in data modeling, lifecycle management, integration patterns, partitioning, caching, data access patterns, and security strategies including classification, access control, encryption, retention, and auditability.
• Knowledge of DataOps practices, modern data stack tools, governance, SQL, data privacy regulations, data warehousing, big data, and AI/ML data requirements.
• Strong communication and collaboration skills with the ability to translate technical topics for varied audiences.
• Prioritization of complex projects in cross-functional environments with consensus building.

Education

• Preferred: time-series data platforms, distributed query engines, large-scale processing, data catalog and metadata platforms, research or economic datasets, and public data access experience.

Experience

• Experience in data architecture, data engineering, or database design with enterprise cloud data implementations in regulated environments.
• Experience designing secure, scalable, and high-availability public-facing platforms.
• Experience with cloud data architecture on AWS, including ingestion, processing, storage, and exposure of data.
• Experience in data modeling, lifecycle management, integration patterns, partitioning, caching, data access patterns, and security strategies including classification, access control, encryption, retention, and auditability.
• Knowledge of DataOps practices, modern data stack tools, governance, SQL, data privacy regulations, data warehousing, big data, and AI/ML data requirements.

Benefits

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Pay

$100.00 to $125.00/hr.

Schedule

Hybrid 4 days on-site, 1 day work from home in St. Louis, MO.