Senior Data Architect — Enterprise AI & Cloud

Curium Pharma; St. Louis (MO); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Curium Pharma is seeking a Principal Data Architect to design, develop, and govern the enterprise data architecture to support BI, analytics, AI, and digital transformation initiatives. The role partners with stakeholders, data engineers, and technology leaders to align data assets with business objectives.

The position is hybrid (4 days onsite, 1 day remote) with a schedule Mon–Fri 8am–5pm. You will lead data standards, models, integration patterns, and governance to enable trusted data across

Qualifications

• Bachelor’s degree or higher in a technical field.
• 8+ years in software/data engineering, with 4+ years in data management or analytics.
• 2+ years lead-level cloud data engineering experience.
• Experience designing enterprise-scale data solutions for BI/analytics.
• Strong SQL and data modeling skills (star/snowflake).
• Knowledge of ETL/ELT, real-time integration, APIs, and data governance.

Responsibilities

• Develop and govern enterprise data architecture for BI, analytics, AI, and digital transformation.
• Design scalable data platforms and data models for reporting and ops use.
• Establish enterprise data principles for master, reference, and transactional data.
• Define integration standards for ETL/ELT, APIs, batch and real-time.
• Ensure governance, metadata, lineage, ownership, and data quality.

Skills

Data architecture

Enterprise data modeling

Data governance

Cloud data platforms

ETL/ELT

SQL

Data security & compliance

Stakeholder management

Leadership

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field

Master’s degree or MBA

Tools

Microsoft Fabric

Azure

Snowflake

Databricks

Job description

Curium Pharma is seeking a Principal Data Architect to design, develop, and govern the enterprise data architecture to support BI, analytics, AI, and digital transformation initiatives. The role partners with stakeholders, data engineers, and technology leaders to align data assets with business objectives.

The position is hybrid (4 days onsite, 1 day remote) with a schedule Mon–Fri 8am–5pm. You will lead data standards, models, integration patterns, and governance to enable trusted data across