Master Data Management Data Architect

What you will do

Lets do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules.

Roles & Responsibilities:

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to standard processes for coding, testing, and designing reusable code/component
• Participate in sprint planning meetings and provide estimations on technical implementation
• As a SME, work with the team on MDM related product installation, configuration, customization and optimization
• Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures
• Review technical model specifications and participate in data quality testing
• Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality
• Create and maintain system specific master data data-dictionaries for domains in scope
• Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery
• Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management
• Develop and deliver solutions individually or as part of a development team
• Approves code reviews and technical work
• Maintains compliance with change control, SDLC and development standards
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR
• Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR
• Diploma and 7 to 9 years of Computer Science, IT or related field experience.

Preferred Qualifications:

• Expertise in architecting and designing Master Data Management (MDM) solutions.
• Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance.
• Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence.
• At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL.

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.
• Good understanding of data modeling, data warehousing, and data integration concepts.
• Experience with development using Python, React JS, cloud data platforms.
• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments).

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Good communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.