채용
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
Data Architecture
Data Modeling
ABAP CDS
SAP Analytics
Communication
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
A Day in the Life
We are seeking an experienced Data Architect offsite to provide strategic and hands-on leadership for our SAP-centric enterprise data architecture. This role will be delivered from an offsite / offshore location and will partner closely with onshore stakeholders, SAP functional teams, and data engineering teams to design, govern, and optimize data models within SAP Business Data Cloud (BDC) and SAP Datasphere. This person will also be responsible for investigating and exploring new AI use cases such as Joule AI utilizing the SAP BDC architecture.
The ideal candidate has deep expertise in SAP data modeling, ABAP CDS views, AI use cases, and enterprise analytics architecture, with a proven ability to operate effectively in a distributed, global delivery model.
ABAP CDS, Data Modeling Responsibilities may include the following and other duties may be assigned:
Enterprise Data Architecture:
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Define and maintain SAP-aligned data architecture standards for analytics and reporting in an offsite delivery model.
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Serve as the architect for SAP Business Data Cloud and SAP Datasphere implementations.
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Provide design guidance, reviews, and architectural approvals remotely across multiple workstreams.
SAP Data Modeling & CDS Expertise:
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Design, Develop, and govern semantically rich, business-consumable data models in SAP Datasphere.
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Lead the creation, enhancement, and performance optimization of ABAP CDS views for analytical and reporting use cases.
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Ensure consistent business definitions, KPIs, and hierarchies across SAP and downstream platforms.
Data Provisioning & Integration:
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Architect scalable patterns for data provisioning from SAP ECC and S/4HANA to enterprise analytics platforms.
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Support integration of SAP data with non-SAP sources and cloud data platforms (e.g., Snowflake, Databricks).
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Enable reusable SAP data products for finance, operations, and analytics teams.
Governance, Quality & Compliance:
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Collaborate remotely with governance and security teams to ensure data quality, lineage, and auditability.
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Support financial and regulatory reporting requirements, including SOX-relevant datasets.
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Define reference architectures for trusted, controlled data consumption.
Onsite/Offshore Collaboration & Delivery:
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Work closely with onshore business stakeholders, architects, and product owners across time zones.
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Translate business and functional requirements into clear technical designs and modeling standards.
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Mentor offshore architects and senior engineers; enforce best practices through design reviews and documentation.
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Strong alignment between SAP business semantics and enterprise reporting platforms.
Required Knowledge and Experience:
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Bachelor’s degree in any stream, or related field.
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10 years of experience in data architecture, data modeling, or SAP analytics roles.
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Good to have hands-on experience with SAP Business Data Cloud and SAP Datasphere.
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Advanced expertise in ABAP CDS views, including analytical modeling and performance tuning.
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Solid understanding of SAP ECC and S/4HANA data structures and analytical consumption patterns.
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Proven experience supporting enterprise-scale SAP analytics initiatives in a remote or offshore delivery model.
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Strong written and verbal communication skills for collaboration with global, distributed teams.
Preferred Qualifications,
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Experience with S/4HANA Finance data models (ACDOCA, COPA, Financial Master Data).
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Experience utilizing and adopting AI agents such as Joule in BDC.
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Exposure to cloud data platforms (e.g., Snowflake, Databricks) and enterprise BI tools.
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Familiarity with data governance, metadata management, and master data concepts.
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Prior experience supporting large SAP transformations or data modernization programs.
What Success Looks Like,
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High-quality SAP data models and CDS views delivered consistently from an offsite location.
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Clear, reusable architectural patterns adopted across SAP analytics initiatives.
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
About Medtronic
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000 passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here
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About Medtronic
Reviews
3.3
10 reviews
Work Life Balance
3.2
Compensation
4.0
Culture
3.4
Career
3.8
Management
3.5
65%
Recommend to a Friend
Pros
Great coworkers and supportive team
Good benefits and compensation
Growth and advancement opportunities
Cons
Aggressive leadership and cultural changes
Limited work-life balance in some roles
Company prioritizes profits over employees
Salary Ranges
1,888 data points
Mid/L4
Mid/L4 · Clinical Specialist
306 reports
$173,492
total / year
Base
$108,731
Stock
-
Bonus
$18,129
$110,237
$281,189
Interview Experience
6 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview Round 1
5
Technical Interview Round 2
6
Final Interview
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
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