The Role
Own end-to-end data modeling, governance, quality, and accuracy across the MDM ecosystem, including warehouse and middleware layers. Develop and deliver modular software and automation, integrate disparate data sources, optimize system performance, and support production incidents. The role requires Python, SQL, AWS, APIs, database expertise, and strong cross-functional collaboration to build a scalable source-of-truth data platform.
Summary Generated by Built In
Role Overview
As an MDM Platform Engineer, you will be able to understand the E2E data flow that is being followed by the MDM ecosystem. You will play a key role in understanding and developing holistic features and solutions with the help of the architect that will enable a more integrated ecosystem where the MDM takes data from different sources and becomes the real source of truth across the company. DE skills will allow you to do data modeling inside of the MDM as well as the warehouse whenever this is required to stage the information for analytical purposes. Automation, scripting, and basic architectural knowledge are desirable.
Responsibilities
- E2E Data Modeling Owner for everything related to MDM (Including Warehouse and Middle Layers).
- Owner of the Data Governance, Data Quality, and Accuracy of Identifiable Information across the different MDM stakeholders.
- Develop, test, and deliver modular extensible software code that meets business objectives and automation.
- Work to integrate data from disparate sources, ensuring data quality and consistency throughout the MDM system.
- Monitor and optimize system performance to ensure scalability, reliability, and security of the upstream, customer data service, and downstream systems.
- Support production incident responses to ensure our SLAs are met.
Requirements
- Python
- SQL
- AWS
- APIs
- Data Modeling
- Data Governance
- Data Quality
- SQL Databases
- NoSQL Databases
- Problem-solving
- Communication
- Cross-functional collaboration
- Project delivery
Preferred Skills
- Master Data Management (MDM)
- PII Data handling
- Automation
- Scripting
- Architectural knowledge
Qualifications
- Bachelor's degree in computer science, engineering, related technical field or equivalent experience
- Excellent problem-solving skills with the ability to think critically and work independently
- Strong communication skills, with a proven ability to collaborate and build consensus effectively across different teams and organizational levels
- Ability to drive delivery of E2E projects
- Desirable experience working with MDM and PII Data
Benefits
- Competitive salary
- Strong insurance package
- Extensive learning and development resources
Skills Required
- Python experience
- SQL experience
- AWS experience
- API experience
- Data modeling experience
- Data governance experience
- Data quality experience
- SQL database experience
- NoSQL database experience
- Strong problem-solving and critical-thinking skills
- Strong communication and cross-functional collaboration skills
- Ability to drive end-to-end project delivery
- Bachelor's degree in computer science, engineering, a related technical field, or equivalent experience
- Master Data Management experience
- PII data-handling experience
- Automation and scripting experience
- Basic architectural knowledge
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The Company
What We Do
Simfluent builds and operates global capability centers for modern enterprises. It creates fully integrated hubs that function as permanent extensions of clients’ businesses, with capabilities spanning engineering and platforms, cloud, architecture, product, data, and AI. Through greenfield, build-operate-transfer, and hybrid models, Simfluent helps organizations scale technology delivery while preserving quality, culture, strategic alignment, and local control, with predictable execution at enterprise scale.
