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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 and collaborate globally with skilled experts.
- Warum dieser Job: Be part of a mission to make healthcare more data-driven and impactful.
- Gewünschte Qualifikationen: Master’s degree and 6+ years in data architecture or related fields required.
- Andere Informationen: Experience in healthcare marketing is a plus; remote work options available.
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 data lake 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: Emdgroup
Kontaktperson:
Emdgroup 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
Network with professionals in the healthcare data space. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss your experience with CI/CD pipelines and how you've implemented them in past projects. Being able to articulate your approach to data flow architectures will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Showcase your ability to work in agile teams by sharing examples of how you've collaborated with cross-functional teams. Highlighting your communication skills and adaptability will resonate well with the company's emphasis on teamwork.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Architect (all genders)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture, data modeling, and any relevant technologies like Palantir Foundry, Snowflake, and AWS. Use specific examples that demonstrate your expertise and achievements in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data innovation in healthcare. Discuss how your background aligns with the company's mission to enhance data accessibility and quality, and mention any relevant projects or experiences that showcase your skills.
Showcase Your Technical Skills: Clearly outline your technical skills related to CI/CD pipelines, data analytics solutions, and any experience with Azure Dev Ops or warehouse automation tools. This will help demonstrate your capability to contribute effectively to the team.
Highlight Collaboration Experience: Since the role involves working closely with various stakeholders, emphasize your experience in collaborating with business teams and developers. Provide examples of successful projects where you worked in virtual or scaled agile teams.
Wie du dich auf ein Vorstellungsgespräch bei Emdgroup 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 effectively with both technical and non-technical audiences.
✨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, ensuring they meet the needs of various stakeholders and contribute to a data-driven culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Be ready to discuss how you would handle challenges related to data provisioning, quality assurance, and the integration of new technologies into existing systems.
