Google Data Architect creating and optimizing data solutions using GCP technologies. Collaborating with teams to enhance enterprise data architecture across business functions.
About the role
- Data Architect responsible for the integrity and reliability of Patient Services data in Life Sciences. Ensuring analytics-ready data through strategic vendor collaboration and data stewardship.
Responsibilities
- Ensure the integrity and reliability of Patient Services (PS) data.
- Act as the primary bridge between external Patient Services Hub vendors and internal enterprise systems.
- Lead source-to-target mapping from external Hub vendors to internal systems (EDB).
- Define logical/conceptual data models and act as the primary SME for Patient Services data structures.
- Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation.
- Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas.
- Proactively resolve data issues and define validation rules.
- Collaborate with DD&T to implement data quality checks within the pipeline ecosystem.
- Direct engagement with PS Hub vendors and aggregators to investigate root causes and enforce Data SLAs.
- Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards.
Requirements
- 15 + yrs of experience in data architecture, data management, or data engineering roles.
- Strong experience with healthcare, patient services, or life sciences data (mandatory).
- Demonstrated expertise in data quality management, validation, and issue resolution.
- Experience working with external vendors and complex data pipelines.
- Strong SQL skills and experience querying enterprise data platforms.
- Proven ability to translate business needs into data requirements and quality rules.
- Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment.
- Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes.
- Knowledge of data governance frameworks and master/reference data concepts.
- Ability to operate in a matrixed, cross functional environment.
Benefits
- Significant career development opportunities exist as the company grows.
- Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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