Application Architect
Job Summary
- Lead architecture design and implementation of data platforms and analytics solutions across on-premises and cloud environments.
- Develop architectures using AWS and/or Azure services including cloud compute data pipelines file storage and database services.
- Own project architecture design data modeling and implementation standards for analytical applications.
- Create and execute roadmaps to modernize legacy platforms and support advanced analytics and data science initiatives.
- Provide technical leadership and guidance to engineering teams throughout project delivery.
- Establish scalable data integration patterns and platform architecture for enterprise data products.
- Perform activities across project phases including requirements gathering design testing deployment training and hypercare support.
- Facilitate business analysis and ensure architecture solutions align with enterprise standards and best practices.
- Create application architecture and development designs that meet business and technical requirements.
- Communicate complex technical concepts effectively to technical and non-technical stakeholders including executive leadership.
- Collaborate with SMEs and functional teams to build data pipelines from structured and unstructured data sources.
- Drive resolution of technical and implementation issues across assigned projects.
- Design and implement secure architecture patterns including data masking encryption identity management audit logging and regulatory compliance requirements.
- Optimize platform performance and cost through workload management scalability strategies observability and governance practices.
- Support quality compliance regulatory and continuous improvement initiatives across the organization.
- Bachelors degree or equivalent experience.
- 10 years of experience in IT platform implementation within highly technical and analytical environments.
- Experience architecting large-scale analytics and data platforms using both on-premises and cloud technologies.
- Strong experience in data warehousing architecture and industry best practices.
- Hands-on experience with Databricks Lakehouse architecture and cloud data analytics solutions on AWS and/or Azure.
- Strong knowledge of data federation ETL/ELT ingestion strategies and modern data platform design.
- Proficiency in Python PySpark advanced SQL and Delta Lake optimization techniques.
- Experience with Databricks notebooks Jobs Delta Live Tables (DLT) Lakeflow Unity Catalog and Git integrations.
- Knowledge of Delta Lake performance optimization including OPTIMIZE/VACUUM policies data skipping Z-ordering file compaction and query diagnostics.
- Experience implementing security and compliance controls including PII/PHI protection encryption secret management and access management.
- Strong analytical problem-solving organizational and communication skills.
- Ability to manage multiple priorities work independently and collaborate effectively in a matrixed environment.
- Excellent verbal and written communication skills in English.
- AWS Certified Solutions Architect and/or Azure Solutions Architect certification.
- Databricks Professional Certification (Architect or Data Engineer).
- Experience working in geographically distributed and cross-functional teams.
- Strong presentation and stakeholder management skills.
- Knowledge of Software Lifecycle methodologies Disaster Recovery Planning Business Impact Assessments and Change Management processes.
- Experience within regulated environments such as healthcare life sciences or FDA-regulated industries.
The base pay for this position is
N/AIn specific locations the pay range may vary from the range posted.
Required Experience:
Staff IC
About Company
WHO WE ARE CREATING LIFE-CHANGING TECHNOLOGY From removing the regular pain of fingersticks as people manage their diabetes to connecting patients to doctors with real-time information monitoring their hearts, from easing chronic pain and movement disorders to testing half the world’s ... View more