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Job Description:
Data Analytics Solution Architect
3M Health Care is now Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
The Impact You’ll Make in this Role
As an IT Solution Architect, you will be responsible for designing and implementing IT solutions that meet business requirements and align with the organization's strategic goals. You will work closely with stakeholders to understand their needs, develop architectural frameworks, and ensure the successful delivery of IT projects. Your role will involve evaluating technologies, creating solution designs, and providing technical leadership.
As a Solution Architect , you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make a significant impact by shaping and delivering robust data analytics solutions. Here, you will make an impact:
Lead End-to-End Solution Architecture: Drive the comprehensive data architecture across a diverse ecosystem, including Snowflake, dbt,SAP S/4HANA/ECC & Datasphere, MS Dynamics 365, BPCS, Salesforce, Workday, Concur, Oracle, JDE, MES, and various external data sources.
Design Integrated Data Solutions: Architect highly integrated data models that effectively support critical business domains such as Commercial Operations, Supply Chain, Finance, and others.
Translate and Optimize Data for Analytics: Transform complex Enterprise Application and ERP transactional and master data into optimized, analytics-ready structures within Snowflake and other downstream platforms.
Standardize Key Business Metrics: Define and standardize crucial business metrics and KPIs across IT, finance, sales, supply chain, customer operations, and manufacturing domains to ensure consistent reporting and analysis.
Design and Implement Data Pipelines: Design and oversee the implementation of efficient data pipelines and ELT frameworks utilizing tools like AWS, S3, Lambda, & Step functions, SAP Datasphere, HVR, Fivetran, and Informatica.
Integrate Diverse Data Sources: Lead the integration of ERP (SAP, MS D365, BPCS, Oracle, JDE) and Non-ERP (Salesforce, Workday, Concur, MES, external sources, etc.) data with Snowflake or other cloud data lakes, adhering to best practices for data quality, scalability, and performance.
Ensure Data Solution Robustness: Collaborate closely with data engineers to ensure the development of robust, well-documented Source-to-Target Mappings (STTMs).
Deliver Data Models for Reporting: Support critical operational and reporting requirements by delivering comprehensive data models for regulatory, financial, and management reporting.
Provide Technical Oversight for Data Access: Offer technical oversight for data access strategies (ODP, CDS Views, APIs), ensuring optimal operational efficiency and performance.
Guide Data Issue Resolution: Lead the troubleshooting of data issues in production environments and…