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- Aufgaben: Design and enhance data architecture for innovative healthcare solutions.
- Arbeitgeber: Join Merck, a leader in driving data innovation in the healthcare sector.
- Mitarbeitervorteile: Work with cutting-edge technology like Palantir Foundry and AWS; collaborate globally.
- Warum dieser Job: Be part of a skilled team making impactful data-driven decisions in healthcare.
- Gewünschte Qualifikationen: Master’s degree and 6+ years in data architecture; experience with CI/CD and analytics solutions required.
- Andere Informationen: Experience in healthcare marketing is a plus; excellent English communication skills needed.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Your role: Join us to contribute to our enterprise priority of driving innovation through data & digital in Healthcare! Well-structured, findable and easily accessible data is its core foundation, and we have therefore embarked on a mission to accelerate the provisioning of high-quality data. Your role will be to design, implement and enhance our data architecture as well as data flows, structures and processing. For this, you will work closely with our business stakeholders on a global, regional and local level to optimize the way we gather, structure and provision data. The data products you create will serve a broad variety of reporting, analytics, decision support and (Generative) AI solutions. They will also enable self-service data analytics by a variety of stakeholders and thereby contributing to Merck becoming an increasingly data-driven company. In creating these data products, you will be able to leverage an advanced analytics ecosystem built on modern Palantir Foundry, Snowflake and AWS cloud technology and become part of a team of highly skilled experts working on data ingestion, transformation and analysis. You will collaborate closely with the headquarter-based IT team and data & analytics developer teams located in Europe and India. You will be the single point of accountability for scoping, delivery and deployment of your data products.
Who you are:
- Master’s degree in computer science, mathematics, business administration with a technical focus, or related subjects
- 6+ years of experience as a data warehouse expert, data architect or data product owner
- Experience in designing complex data models and data flow architectures
- Experience working with CI/CD pipelines
- Experience in working with data & analytics solutions such as Palantir Foundry, Snowflake and AWS; other datalake or data warehouse solutions beneficial
- Strong drive to think of data products from end-to-end, i.e. from ingestion to data modelling and use case delivery
- Experience with Healthcare Marketing and Sales is a plus
- Experience working with Azure Dev Ops is a plus
- Experience in working with warehouse automation tools (e.g. dbt, coalesce) is a plus
- Excellent English communication skills and ability to effectively communicate both with business teams and developers
- Experience working in virtual and scaled agile teams
#J-18808-Ljbffr
Senior Data Architect (all genders) Arbeitgeber: Merck Gruppe
Kontaktperson:
Merck Gruppe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Architect (all genders)
✨Tip Number 1
Familiarize yourself with the specific data technologies mentioned in the job description, such as Palantir Foundry, Snowflake, and AWS. Having hands-on experience or relevant projects to discuss can set you apart during conversations.
✨Tip Number 2
Highlight your experience in designing complex data models and data flow architectures. Be prepared to share examples of how you've optimized data processes in previous roles, as this will demonstrate your capability to contribute effectively.
✨Tip Number 3
Showcase your understanding of CI/CD pipelines and how they relate to data architecture. Discussing your experience with these practices can illustrate your ability to deliver high-quality data products efficiently.
✨Tip Number 4
If you have experience in Healthcare Marketing and Sales, make sure to mention it. This industry knowledge can be a significant advantage, as it aligns closely with the role's focus on healthcare data solutions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Architect (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant experience in data architecture, data flows, and analytics solutions.
Tailor Your CV: Customize your CV to reflect your experience with data models, CI/CD pipelines, and specific technologies mentioned like Palantir Foundry, Snowflake, and AWS. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's mission of driving innovation through data in healthcare. Share specific examples of how you've designed data products or improved data processes in previous roles.
Highlight Collaboration Skills: Since the role involves working closely with various stakeholders, emphasize your experience in collaborating with business teams and developers. Mention any experience you have in agile environments or virtual teams.
Wie du dich auf ein Vorstellungsgespräch bei Merck Gruppe vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture, particularly focusing on complex data models and data flow architectures. Highlight specific projects where you designed or enhanced data systems, especially using tools like Palantir Foundry, Snowflake, and AWS.
✨Demonstrate Collaboration Skills
Since the role involves working closely with business stakeholders and IT teams across different regions, share examples of how you've successfully collaborated in diverse teams. Emphasize your ability to communicate technical concepts to non-technical stakeholders.
✨Discuss Your End-to-End Thinking
Illustrate your approach to thinking about data products from ingestion to delivery. Provide examples of how you've managed the entire lifecycle of data products and how this has contributed to a data-driven culture in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Be ready to explain how you would handle challenges related to data quality, accessibility, and integration, particularly in the context of healthcare data.
