Sr Enterprise Data Architect
Budget / Salary$125,000–175,000
TypeFull-time job
LocationUnited States
Posted1 hour ago
Job Title: Sr Enterprise Data Architect
Job Location: Remote, North Carolina, USA
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
At Thermo Fisher Scientific's PPD Clinical Research Group (CRG), we're using digital innovation, data science, and AI to transform how life-changing therapies reach patients. Our Digital Science, Data, and AI teams combine scientific expertise with advanced analytics, automation, and digital platforms to make clinical research smarter, faster, and more connected.
Innovation happens when diverse minds come together. Our teams collaborate closely with scientists, clinicians, and operational experts to solve complex challenges in clinical research. Through our collaboration with OpenAI, we're helping accelerate drug development so customers can bring medicines to patients faster and more cost-effectively.
What You'll Do
Lead the enterprise data architecture strategy as a Senior Enterprise Data Architect (internally known as Sr Staff IT Architect, band 8) and help lead the design and implementation of enterprise-wide technology and data architecture across cloud infrastructure, cybersecurity, AI/ML, automation, and data platforms.
As a technical leader, you'll establish architectural standards, guide strategic technology initiatives, and partner with cross-functional teams to deliver scalable, secure, and innovative solutions that drive business growth and digital transformation.
Key Responsibilities
Design enterprise-scale data and technology architecture solutions supporting clinical trials across global programs.
Develop scalable, secure architectures spanning cloud infrastructure, AI/ML, automation, cybersecurity, and enterprise data platforms.
Translate business requirements into robust architectural designs aligned with enterprise standards.
Establish architecture best practices and provide technical leadership across strategic initiatives.
Enable AI-driven clinical research by partnering with cross-functional teams and key stakeholders to deliver innovative solutions.
Influence the enterprise technology roadmap and support digital transformation initiatives.
Mentor and guide technical teams through complex architecture decisions.
Tech Stack:
Data & Analytics
SQL, PL/SQL
Databricks
Snowflake
Data Architecture & Modeling
Erwin Data Modeler (or equivalent)
Data Modeling
Data Mapping
Metadata management
Data Governance
Data Lifecycle Management
Enterprise Data Architecture
Cloud & Enterprise Technologies
Cloud Infrastructure
AI/ML (Artificial Intelligence & Machine Learning)
Education & Experience
Bachelor's degree (or equivalent combination of education and experience) in relevant field; Masters’ degree preferred.
8+ years of experience in enterprise data or platform architecture, or equivalent experience demonstrating the required knowledge, skills, and abilities.
Enterprise data architecture, data modeling, and data mapping
SQL/PLSQL and data transformation frameworks
Data modeling tools (Erwin or equivalent)
Defining and enforcing data governance and platform standards
Agile methodologies and project delivery frameworks
Databricks (preferred) or dbt
Knowledge, Skills & Abilities
Demonstrated ability to design and implement enterprise-scale data solutions and integrations.
Strong understanding of data architecture patterns, data pipelines, and data lifecycle management.
Advanced SQL proficiency, including:
--Complex joins
--Common Table Expressions (CTEs)
--Window functions
--Aggregation logic
--Query performance tuning
Expertise in data modeling methodologies, including:
--Dimensional modeling (Kimball)
--Normalization techniques
--OLTP vs. OLAP design principles
Experience working in complex, multi-program enterprise environments.
Strong stakeholder management and communication skills, including engagement with senior leadership.
Ability to work independently and drive outcomes across multiple initiatives.
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to communicate complex technical concepts to non-technical audiences.
Equivalent combinations of education, training, and directly related experience will be considered.
Workplace Qualifications
At Thermo Fisher Scientific, we are committed to fostering a healthy and collaborative workplace where employees can thrive. This position requires the ability to:
Communicate effectively with diverse groups in a clear and professional manner.
Work in a stationary position for typical working hours.
Use and learn standard office technology with proficiency.
Prioritize and manage multiple projects while performing effectively under pressure.
Travel up to 20% as business needs require.
Location; Remote – United States (preference for East Coast). Relocation assistance is not available.
Must be legally authorized to work in the United States without sponsorship.
Must successfully complete a comprehensive background check, including a drug screening.
The annual salary range estimated for this position in North Carolina is $125,000 - $175,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
Originally posted on Himalayas
Job Location: Remote, North Carolina, USA
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
At Thermo Fisher Scientific's PPD Clinical Research Group (CRG), we're using digital innovation, data science, and AI to transform how life-changing therapies reach patients. Our Digital Science, Data, and AI teams combine scientific expertise with advanced analytics, automation, and digital platforms to make clinical research smarter, faster, and more connected.
Innovation happens when diverse minds come together. Our teams collaborate closely with scientists, clinicians, and operational experts to solve complex challenges in clinical research. Through our collaboration with OpenAI, we're helping accelerate drug development so customers can bring medicines to patients faster and more cost-effectively.
What You'll Do
Lead the enterprise data architecture strategy as a Senior Enterprise Data Architect (internally known as Sr Staff IT Architect, band 8) and help lead the design and implementation of enterprise-wide technology and data architecture across cloud infrastructure, cybersecurity, AI/ML, automation, and data platforms.
As a technical leader, you'll establish architectural standards, guide strategic technology initiatives, and partner with cross-functional teams to deliver scalable, secure, and innovative solutions that drive business growth and digital transformation.
Key Responsibilities
Design enterprise-scale data and technology architecture solutions supporting clinical trials across global programs.
Develop scalable, secure architectures spanning cloud infrastructure, AI/ML, automation, cybersecurity, and enterprise data platforms.
Translate business requirements into robust architectural designs aligned with enterprise standards.
Establish architecture best practices and provide technical leadership across strategic initiatives.
Enable AI-driven clinical research by partnering with cross-functional teams and key stakeholders to deliver innovative solutions.
Influence the enterprise technology roadmap and support digital transformation initiatives.
Mentor and guide technical teams through complex architecture decisions.
Tech Stack:
Data & Analytics
SQL, PL/SQL
Databricks
Snowflake
Data Architecture & Modeling
Erwin Data Modeler (or equivalent)
Data Modeling
Data Mapping
Metadata management
Data Governance
Data Lifecycle Management
Enterprise Data Architecture
Cloud & Enterprise Technologies
Cloud Infrastructure
AI/ML (Artificial Intelligence & Machine Learning)
Education & Experience
Bachelor's degree (or equivalent combination of education and experience) in relevant field; Masters’ degree preferred.
8+ years of experience in enterprise data or platform architecture, or equivalent experience demonstrating the required knowledge, skills, and abilities.
Enterprise data architecture, data modeling, and data mapping
SQL/PLSQL and data transformation frameworks
Data modeling tools (Erwin or equivalent)
Defining and enforcing data governance and platform standards
Agile methodologies and project delivery frameworks
Databricks (preferred) or dbt
Knowledge, Skills & Abilities
Demonstrated ability to design and implement enterprise-scale data solutions and integrations.
Strong understanding of data architecture patterns, data pipelines, and data lifecycle management.
Advanced SQL proficiency, including:
--Complex joins
--Common Table Expressions (CTEs)
--Window functions
--Aggregation logic
--Query performance tuning
Expertise in data modeling methodologies, including:
--Dimensional modeling (Kimball)
--Normalization techniques
--OLTP vs. OLAP design principles
Experience working in complex, multi-program enterprise environments.
Strong stakeholder management and communication skills, including engagement with senior leadership.
Ability to work independently and drive outcomes across multiple initiatives.
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to communicate complex technical concepts to non-technical audiences.
Equivalent combinations of education, training, and directly related experience will be considered.
Workplace Qualifications
At Thermo Fisher Scientific, we are committed to fostering a healthy and collaborative workplace where employees can thrive. This position requires the ability to:
Communicate effectively with diverse groups in a clear and professional manner.
Work in a stationary position for typical working hours.
Use and learn standard office technology with proficiency.
Prioritize and manage multiple projects while performing effectively under pressure.
Travel up to 20% as business needs require.
Location; Remote – United States (preference for East Coast). Relocation assistance is not available.
Must be legally authorized to work in the United States without sponsorship.
Must successfully complete a comprehensive background check, including a drug screening.
The annual salary range estimated for this position in North Carolina is $125,000 - $175,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.