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Product Manager Data Modeler Data Integration Processing PDM Digital

Pay
Pay not listed
Work setting
Not stated
Employment
Permanent — employment source
Working Environment and Location This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office. Astellas’ Responsible Flexibility Guidelines Statement- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
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Before you apply

Eligibility
Candidates must be located within a commutable distance of the office. — eligibility source
This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office.
Read the full posting

What you’ll work on

Full posting
  • Define and govern domain data architectures for Manufacturing, Clinical, Supply Chain and CMC

  • Translate business requirements into scalable, fit-for-purpose ingestion patterns

  • Oversee and review implementation by central data engineering teams

  • Lead end-to-end design and delivery of data workflows across ingestion, transformation and integration

  • Coach data and platform engineering teams on best practices

From the employer’s posting
Define and govern domain-specific data architectures for Manufacturing, Clinical, Supply Chain, and CMC
Translate business and data design requirements into scalable, fit-for-purpose ingestion patterns.
Oversee and review implementation delivered by central data engineering teams
Lead the design and delivery of end-to-end data workflows, covering ingestion, transformation, and integration across different data sources.
Provide coaching, guidance, and subject matter expertise to data and platform engineering teams

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
  • Strong ability to operate in complex business environments and translate requirements into data solutions/designs/architectures.
  • Experience working across multiple industries or complex domains, with strong adaptability to new environments.
  • Excellent communication and stakeholder management abilities.
  • Demonstrated leadership in end-to-end project delivery, including architecture, development, deployment, and production support.
  • Ability to work independently and collaboratively across regions and time zones.

Preferred experience

  • Prior experience in the pharmaceutical, biotech, or other highly regulated environments is highly desirable.
Qualification wording
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Strong ability to operate in complex business environments and translate requirements into data solutions/designs/architectures.
Experience working across multiple industries or complex domains, with strong adaptability to new environments.
Excellent communication and stakeholder management abilities.
Demonstrated leadership in end-to-end project delivery, including architecture, development, deployment, and production support.
Ability to work independently and collaboratively across regions and time zones.
Prior experience in the pharmaceutical, biotech, or other highly regulated environments is highly desirable.
Education & alternatives
Required Qualifications - Bachelor’s or higher degree in Computer Science, Information Systems, or a related field. - Relevant industry certifications (e.g., Databricks, AWS/Azure, Agile) are highly preferred.

About Astellas US

We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health.

In the employer’s words · Read in context

Apply at Astellas US

Posting record

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Status in our records
Live
First seen by us
Oct 13, 202622 days ago
Recorded sightings
29
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 22

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Astellas US is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Delta Lake
  • Fivetran
  • Kafka
  • MySQL
  • NoSQL
  • Oracle
  • SQL Server
  • PySpark
Where the posting names them
- Data Platforms & ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere. - Programming & Processing: Python, PySpark, SQL, PL/SQL, T-SQL. - Data Architecture & Modelling: Relational, Dimensional, Data Vault.
- Integration Technologies: CDC (e.g., Fivetran SAAS, HVR), REST API’s, MQTT, AMQP (e.g., RabbitMQ), real-time data streaming platform (e.g. Kinesis, Kafka), IoT platform (e.g., AVEVA Connect). - Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services. - Automation, DevOps & CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management.
- Bachelor’s or higher degree in Computer Science, Information Systems, or a related field. - Relevant industry certifications (e.g., Databricks, AWS/Azure, Agile) are highly preferred. - Prior experience in the pharmaceutical, biotech, or other highly regulated environments is highly desirable.
Technical Skills: - Cloud Platforms: Azure and AWS. - Data Platforms & ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere.
- Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services. - Automation, DevOps & CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management. - Data Governance: Data quality frameworks (e.g., Spark DQX), governance tools (e.g., Databricks Unity Catalog), data contracts, metadata management, and regulatory (e.g., GxP) compliance.
- Cloud Platforms: Azure and AWS. - Data Platforms & ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere. - Programming & Processing: Python, PySpark, SQL, PL/SQL, T-SQL.
- Automation, DevOps & CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management. - Data Governance: Data quality frameworks (e.g., Spark DQX), governance tools (e.g., Databricks Unity Catalog), data contracts, metadata management, and regulatory (e.g., GxP) compliance. Soft Skills
- Provide architectural leadership and guidance on domain-relevant platform capabilities, including CI/CD, automation, and DevOps practices. - Ensure the validated state of all ingestion patterns, data workflows, and data artifacts (e.g., Delta tables, views, notebooks, and datasets). Continue:Role and Responsibilities
- Data Architecture & Modelling: Relational, Dimensional, Data Vault. - Integration Technologies: CDC (e.g., Fivetran SAAS, HVR), REST API’s, MQTT, AMQP (e.g., RabbitMQ), real-time data streaming platform (e.g. Kinesis, Kafka), IoT platform (e.g., AVEVA Connect). - Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services.

Your next step

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Astellas

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com. 

 

Are you driven to make a real difference in the lives of patients? 

 

We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

Astellas’ Global Capability Centres – Overview

Astellas’ Global Capability Centres (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.

 

The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.

 

Our GCCs are an integral part of Astellas, guided by our shared values and behaviours, and are critical enablers of the company’s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.

Working Environment and Location

  • This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office.
  • Astellas’ Responsible Flexibility Guidelines Statement- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.

Purpose and Scope

  • Design and govern domain-specific data architectures across Manufacturing, Clinical, Supply Chain, and CMC, ensuring scalable, secure, compliant, and reusable data solutions that meet current and future business needs.
  • Act as the key domain architecture partner to business and DigitalX teams, translating business requirements into industrialized data patterns and workflows while ensuring alignment with enterprise standards, GxP requirements, and emerging AI-related regulations.

Role and Responsibilities

  • Define and govern domain-specific data architectures for Manufacturing, Clinical, Supply Chain, and CMC, ensuring alignment with enterprise architecture standards and business priorities.
  • Establish and govern domain architectural principles, ensuring alignment with enterprise data standards and strategies.
  • Translate business and data design requirements into scalable, fit-for-purpose ingestion patterns.
  • Oversee and review implementation delivered by central data engineering teams, ensuring compliance with architecture, quality, and governance standards.
  • Lead the design and delivery of end-to-end data workflows, covering ingestion, transformation, and integration across different data sources.
  • Collaborate with cross-functional teams (e.g., business stakeholders, DigitalX hubs, and QA) to deliver high-quality, scalable, and secure data solutions.
  • Provide architectural leadership and guidance on domain-relevant platform capabilities, including CI/CD, automation, and DevOps practices.
  • Ensure the validated state of all ingestion patterns, data workflows, and data artifacts (e.g., Delta tables, views, notebooks, and datasets).

Continue:Role and Responsibilities

  • Ensure all domain solutions and components are aligned with current requirements and scalable for future business needs, bridging business and technical teams.
  • Provide coaching, guidance, and subject matter expertise to data and platform engineering teams, supporting capability development and adoption of best practices.
  • Ensures patterns and workflows are transitioned to Operations ownership and governed under formal change control.
  • Drives continuous enhancement of architectures and workflows by leveraging emerging digital technologies and innovation opportunities.
  • Assess emerging technologies, architecture patterns, and regulatory requirements to continuously evolve domain data capabilities and standards.

Required Qualifications

  • Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
  • Relevant industry certifications (e.g., Databricks, AWS/Azure, Agile) are highly preferred.
  • Prior experience in the pharmaceutical, biotech, or other highly regulated environments is highly desirable.
  • Extensive experience in data engineering, data architecture, and data platform delivery.
  • Proven track record in designing and implementing data platforms, ETL frameworks, and data integration solutions.
  • Experience working across multiple industries or complex domains, with strong adaptability to new environments.
  • Demonstrated leadership in end-to-end project delivery, including architecture, development, deployment, and production support.
  • Experience with data governance and regulatory compliance frameworks.

Skills

Technical Skills:

  • Cloud Platforms: Azure and AWS.
  • Data Platforms & ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere.
  • Programming & Processing: Python, PySpark, SQL, PL/SQL, T-SQL.
  • Data Architecture & Modelling: Relational, Dimensional, Data Vault.
  • Integration Technologies: CDC (e.g., Fivetran SAAS, HVR), REST API’s, MQTT, AMQP (e.g., RabbitMQ), real-time data streaming platform (e.g. Kinesis, Kafka), IoT platform (e.g., AVEVA Connect).
  • Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services.
  • Automation, DevOps & CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management.
  • Data Governance: Data quality frameworks (e.g., Spark DQX), governance tools (e.g., Databricks Unity Catalog), data contracts, metadata management, and regulatory (e.g., GxP) compliance.

 

Soft Skills

  • Strong ability to operate in complex business environments and translate requirements into data solutions/designs/architectures.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently and collaboratively across regions and time zones.

Why Astellas

  • Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
  • Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
  • Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare. 
  • A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

 

Our Organizational Values and Behaviors 

Values: Integrity, Innovation and Impact sit at the heart of what we do.

Behaviors: We come together as ‘One Astellas’, working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.

Our Organisational Values and Behaviours

Integrity
Innovation
Impact
One Astellas
Accountability
Courage
Sense of Urgency
Outcome Focus

Skills and Capabilities

Organizational Focus

Benefits

Careers | Astellas

 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

 

Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help.

 

#LI-Warsaw

#LI-Hybrid

#LI-ND1

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Location & working pattern

Warsaw, PL, 00-844

Working Environment and Location - This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office. - Astellas’ Responsible Flexibility Guidelines Statement- At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines. Purpose and Scope
More source context
#LI-Warsaw #LI-Hybrid #LI-ND1
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