Department: Product Architecture
Reports to: Chief Architect
Responsibilities:
- Define and communicate the reference architecture for a secure, compliant cloud data platform on AWS, harmonizing clinical and financial data under GxP and SOX controls.
- Design curated, versioned data zones using S3, AWS Glue Catalog, and Iceberg/Delta-style file formats to optimize performance and cost.
- Modernize ingestion and ELT processes by establishing real-time (AWS DMS, PySpark Structured Streaming) and batch (Glue Jobs, PySpark) pipelines, replacing legacy ETL with declarative, testable workflows for clinical and payment data.
- Lead the design and implementation of dimensional and data-vault models, unifying subject, site, supply chain, and payment domains; govern semantic layers in Athena/Redshift Spectrum and Tableau/QuickSight for analytics and AI enablement.
- Develop and maintain secure, versioned GraphQL endpoints and data services to provide streamlined access to curated datasets for strategic reporting.
- Champion data governance and data quality by defining data contracts, schema evolution strategies, lineage, and automated validation—ensuring auditability across the SDLC.
- Mentor and influence engineering teams of 20+ engineers, lead architecture reviews, collaborative design, and internal workshops.
- Serve as a technical advisor to product, security, and compliance stakeholders.
Requirements:
- At least 10 years designing and delivering data-intensive systems, with at least 3 years in a principal-level or architecture role.
- Direct experience with clinical-trial, life-sciences, or financial-ledger data.
- Knowledge of ledger-based payments processing and reconciliation.
- Deep expertise with AWS analytics stack: S3, Glue/Glue Studio & Catalog, Athena, Redshift, Lake Formation, Lambda, EMR or EKS-hosted PySpark.
- Experience building GraphQL or REST data services that front a lakehouse or warehouse.
- Mastery of data modeling (dimensional, data vault, lakehouse patterns) and performance tuning for large-scale analytical workloads.
- Hands-on with Python & PySpark, SQL, and infrastructure-as-code (Terraform/CDK).
- Familiarity with regulatory / GxP / SOX environments and secure-by-design principles (encryption, tokenization, IAM, PII/PHI segregation).
- Experience guiding cross-functional teams in an Agile/DevOps/SRE culture.
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What We Do
Suvoda’s sole focus is to offer the industry’s leading SaaS solution for randomization and trial supply management. Suvoda’s Interactive Response Technology (IRT/IWRS) with Trial Intelligence combines the flexibility of a custom solution with the speed of a configurable platform, offering 4-6 week deployment, reimagined reporting, and easy integration.
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