Data Engineer
Role Descriptions: Role Overview
We are seeking a highly skilled Data & Analytics with over 10 years of experience to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will have deep expertise in data architecture, cloud-based analytics solutions, and Client data integration, along with strong stakeholder engagement and communication skills.
This role will be instrumental in building a robust data ecosystem to support analytics, reporting, and emerging AI-driven initiatives within a pharma domain context, particularly in Patient Support Programs (PSP).
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Key Responsibilities
Architecture & Design
o Lead end-to-end architecture design for enterprise data and analytics platforms.
o Define scalable, reliable, and secure data architecture patterns for structured and unstructured data.
o Design data integration frameworks, pipelines, and data models to support analytics and reporting.
Client Data Integration
o Architect and implement solutions for ingesting and processing data from Client platforms (e.g., Sales Cloud, Service Cloud, Health Cloud).
o Ensure data quality, consistency, and governance across Client and downstream systems.
Cloud & Data Platforms
o Design and build scalable solutions leveraging modern cloud platforms (AWS/Azure/GCP).
o Implement data lakes, data warehouses, and lakehouse architectures.
o Optimize data processing frameworks for performance and cost efficiency.
Analytics & Reporting
o Enable BI and reporting solutions using tools like Power BI, Tableau, or similar.
o Ensure data availability and performance for downstream analytics and reporting teams.
o Support advanced analytics use cases including predictive and prescriptive analytics.
AI & Advanced Capabilities (Nice to Have)
o Contribute to AI/ML initiatives including data preparation for machine learning models.
o Drive adoption of AI-enabled analytics and automation solutions.
Stakeholder Management
o Collaborate with business stakeholders, product owners, and IT teams to align technical solutions with business goals.
o Translate business requirements into technical architecture and actionable road maps.
o Present architecture designs and solutions to senior leadership.
Governance & Best Practices
o Establish and enforce data governance, security, and compliance standards.
o Promote best practices in data modeling, ETL/ELT processes, and DevOps.
o Ensure adherence to regulatory requirements, especially within the pharma domain.
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Required Skills & Qualifications
10 years of experience in Data Engineering, Data Architecture, or Analytics Platforms
Strong expertise in:
o Data architecture (data modeling, warehousing, integration)
o ETL/ELT tools and frameworks
o Cloud platforms such as AWS, Azure, or GCP
Proven experience in Client data integration and architecture
Experience designing scalable, enterprise-grade data platforms
Knowledge of BI/reporting tools (Power BI, Tableau, etc.)
Excellent analytical, problem-solving, and communication skills
Demonstrated experience in stakeholder management and cross-functional collaboration
---
Nice to Have
Experience with AI/ML implementation or data support for AI initiatives
Knowledge of Patient Support Programs (PSP) in the Pharma/Life Sciences domain
Familiarity with data governance and compliance standards (HIPAA, GDPR, etc.)
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Soft Skills
Strong leadership and decision-making capability
Excellent verbal and written communication skills
Ability to influence stakeholders and drive consensus
Strategic thinking with a hands-on mindset
Essential Skills: Patient Support Program| Data Analytics| Saleforce
Desirable Skills:
Keyword:
Skills: Client~Data Analytics & Insights : ignio AIOps~Data Architecture and Modeling
Experience Required: 6-8
We are seeking a highly skilled Data & Analytics with over 10 years of experience to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will have deep expertise in data architecture, cloud-based analytics solutions, and Client data integration, along with strong stakeholder engagement and communication skills.
This role will be instrumental in building a robust data ecosystem to support analytics, reporting, and emerging AI-driven initiatives within a pharma domain context, particularly in Patient Support Programs (PSP).
---
Key Responsibilities
Architecture & Design
o Lead end-to-end architecture design for enterprise data and analytics platforms.
o Define scalable, reliable, and secure data architecture patterns for structured and unstructured data.
o Design data integration frameworks, pipelines, and data models to support analytics and reporting.
Client Data Integration
o Architect and implement solutions for ingesting and processing data from Client platforms (e.g., Sales Cloud, Service Cloud, Health Cloud).
o Ensure data quality, consistency, and governance across Client and downstream systems.
Cloud & Data Platforms
o Design and build scalable solutions leveraging modern cloud platforms (AWS/Azure/GCP).
o Implement data lakes, data warehouses, and lakehouse architectures.
o Optimize data processing frameworks for performance and cost efficiency.
Analytics & Reporting
o Enable BI and reporting solutions using tools like Power BI, Tableau, or similar.
o Ensure data availability and performance for downstream analytics and reporting teams.
o Support advanced analytics use cases including predictive and prescriptive analytics.
AI & Advanced Capabilities (Nice to Have)
o Contribute to AI/ML initiatives including data preparation for machine learning models.
o Drive adoption of AI-enabled analytics and automation solutions.
Stakeholder Management
o Collaborate with business stakeholders, product owners, and IT teams to align technical solutions with business goals.
o Translate business requirements into technical architecture and actionable road maps.
o Present architecture designs and solutions to senior leadership.
Governance & Best Practices
o Establish and enforce data governance, security, and compliance standards.
o Promote best practices in data modeling, ETL/ELT processes, and DevOps.
o Ensure adherence to regulatory requirements, especially within the pharma domain.
---
Required Skills & Qualifications
10 years of experience in Data Engineering, Data Architecture, or Analytics Platforms
Strong expertise in:
o Data architecture (data modeling, warehousing, integration)
o ETL/ELT tools and frameworks
o Cloud platforms such as AWS, Azure, or GCP
Proven experience in Client data integration and architecture
Experience designing scalable, enterprise-grade data platforms
Knowledge of BI/reporting tools (Power BI, Tableau, etc.)
Excellent analytical, problem-solving, and communication skills
Demonstrated experience in stakeholder management and cross-functional collaboration
---
Nice to Have
Experience with AI/ML implementation or data support for AI initiatives
Knowledge of Patient Support Programs (PSP) in the Pharma/Life Sciences domain
Familiarity with data governance and compliance standards (HIPAA, GDPR, etc.)
---
Soft Skills
Strong leadership and decision-making capability
Excellent verbal and written communication skills
Ability to influence stakeholders and drive consensus
Strategic thinking with a hands-on mindset
Essential Skills: Patient Support Program| Data Analytics| Saleforce
Desirable Skills:
Keyword:
Skills: Client~Data Analytics & Insights : ignio AIOps~Data Architecture and Modeling
Experience Required: 6-8
