Technical Life Sciences Consultant, Pharma (Data Governance)
New York, United States
USD 150K-165K (estimate) Senior-level Full Time
Tasks
- Align architecture with business requirements
- Assess current state data architecture and define future state models
- Define and enforce data lineage standards
- Define and enforce data modeling standards
- Define and enforce data quality standards
- Define and enforce metadata standards
- Define architectural standards patterns and best practices
- Deliver end to end client advisory and opportunity creation
- Design cloud native data platforms on AWS and Databricks
- Design scalable data models for analytical and operational workloads
- Drive client workshops and problem framing
- Ensure observability reliability and operational excellence
- Evaluate lifecycle of technology options for governance and scalability
- Implement CI/CD pipelines and monitoring
- Recommend long term architectural strategies
- Review solution designs for scalability performance and security
- Support RFP and RFI responses
- Translate business and analytical requirements into scalable data models
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- PTO
- Paid Holidays
- Parental leave
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | CI/CD | Cloud Migration | Code Analysis | DBT | DBT Cloud | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Databricks | DevOps | ELT | ETL | Infrastructure as Code | Metadata Management | Monitoring | Observability | Python | SQL | Static Code Analysis | Test-Driven | Test-Driven Development | Unit Testing | “as-code”
Education
N/A
Roles
AI | AI Engineer | Architect | Data Architect | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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