Job Summary: The Senior Data Architect will lead the design and implementation of scalable, high performance data architectures across both on-premises and cloud environments. This role involves advanced data modelling, SQL development, and ETL design, with a strong focus on data quality, integrity, and strategy. The architect will collaborate closely with cross-functional teams to align technical solutions with business needs, perform in depth data analysis, and drive the development of robust data models that support long-term organisational goals.
Core Competencies:
Advanced Data Modelling (Star, Snowflake)
SQL Development (Partitioning, Stored Procedures, Recursive Queries)
ETL Design & Implementation
Data Quality & Governance
Stakeholder Engagement
Cross-Functional Collaboration
Roles and Responsibilities:
Design and implement scalable data models following best practices in normalisation, denormalization, and dimensional modelling.
Architect end-to-end data strategies aligned with future-state objectives, focusing on performance, scalability, and flexibility.
Perform frequency distribution and statistical analyses to detect data trends and quality issues.
Design and implement change data capture (CDC), audit logging, and reference data strategies.
Define and create mapping tables and helper tables to support flexible and configurable ETL processes.
Own and ensure data integrity, accuracy, and completeness across platforms.
General Attributes:
Demonstrates intellectual curiosity and passion for uncovering insights in complex datasets.
Skilled communicator capable of translating technical concepts into actionable insights for diverse stakeholders.
Engages effectively with clinicians, researchers, data scientists, and IT teams to gather requirements and align objectives.
Leads deep-dive data analysis initiatives to support data-driven decision making.
Collaborates across departments to deliver robust, business-aligned data models and solutions.
Preferred Skills
Familiarity with data visualisation tools (e.g., Tableau, Power BI) is an advantage.
Experience in the Life Sciences or Pharmaceutical industry is highly desirable.

Keyskills: Snowflake Data Architecture Advance Sql Data Modeling Data Bricks Visualizing ETL
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