▷ (Apply Now) Manager, Data Engineering Solution Architect

3 weeks ago

Dublin, Ireland Bristol-Myers Squibb Full time

Manager, Data Engineering Solution Architect

Apply locations Dublin - IE time type Full time posted on Posted Yesterday job requisition id R1588229

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Position Summary

The Supply Chain and Cell Therapy Data Enablement team within Business Insights and Technology (BI&T) partners with the Bristol Myers Squibb GPS organization to design, develop, and operationalize priority data products along with building AI/Gen AI, and Decision Intelligence capabilities. We focus on answering key business questions that will drive prioritized business decisions using advanced AI capabilities. In support of GPS Strategy, the Data Product Solution Architect will be driving the design, architecture and implementation of foundational data products aimed at solving real-world GPS problems. This is a critical role for driving impactful data-driven solutions, enabling efficient decision-making, and ensuring seamless integration of advanced analytics and AI into operational workflows.

Key Responsibilities

- Drive the architectural design and implementation of foundational data products to address global challenges in Product Development, Manufacturing, and Supply Chain operations, improving efficiency and accelerating outcomes.
- Solution architect to design and model new data enablement projects to enable data scientists to get insights from data.
- Architect scalable enterprise data lake and analytics solutions using AWS managed services that support the diverse data requirements.
- Gather business requirements and come up with design models for data products.
- Architect scalable, end-to-end frameworks to enable seamless integration and management of ML models, advanced analytics, and AI-powered solutions.
- Leverage data engineering expertise to design and implement robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources into cloud environments.
- Implement serverless and distributed computing solutions to support data workflows and analytics requirements.
- Technical point of contact for AWS services and help/support technical teams to resolve technical issues.
- Optimize cloud resource utilization and costs while ensuring performance and scalability for data workloads.
- Review code built by technical team, provide code review feedback, fix issues in the code.
- Build Data Products using AWS cloud services (ie Glue Studio, S3, Athena, Redshift, Lambda, DataZone etc…)
- Own and maintain git repositories for code base.
- Translate business objectives into strategic architectural solutions, aligning technical direction with organizational goals and digital transformation efforts.
- Develop and implement sustainable, reusable design patterns and best practices for enterprise-wide adoption.
- Evaluate and select appropriate tools and technologies, balancing open-source and commercial solutions while ensuring compatibility with existing infrastructure.
- Ensure consistent quality and timeliness in the delivery of data products, proactively managing both planned initiatives and ad hoc requests.

Qualifications & Experience

Minimum Qualifications

- Minimum of 4-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems.
- Bachelor’s degree in computer science, information systems, computer engineering, or equivalent is preferred.
- Hands on experience in building data products using AWS services, DBT, Databricks etc…
- Experience with cloud-based environments (AWS, Azure, Domino Data Lab etc.)
- Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).
- Hands-on expertise in Python and SQL.
- Expert with Github.
- Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
- Ability to architect analytic and data science solutions.
- Experience in working in geographically dispersed teams and virtual collaboration.

Why you should apply

- You will help patients in their fight against serious diseases.
- You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees.
- You’ll get a competitive salary and a great benefits package including, but not only, an annual bonus, pension contribution, family health insurance, 27 days annual leave, access to BMS Cruiserath on-site gym and life assurance.

#LI- Hybrid

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