Data Solutions Architect (Data, MDM & Services Architect)

Job Title: Data Solutions Architect (Data, MDM & Services Architect)

Location: Remote

Role Overview

We are seeking a Data Solutions Architect with expertise in Master Data Management (MDM) and Service oriented Architecture to design and implement scalable, high-performance data solutions. This role will focus on enterprise data integration, governance and architecture modernization, ensuring seamless data flow across multiple systems while adhering to industry best practices. The ideal candidate will have deep experience in Data Strategy, MDM strategies, data modeling and microservices driven architectures, working closely with data engineers, architect, and product/business stakeholders to develop innovative data solutions.

Key Responsibilities

• Data Architecture & MDM Strategy
• Design and implement MDM frameworks to centralize and standardize enterprise data across domains (e.g., Party/Person, Clinical, etc).
• Develop data governance and stewardship models to ensure data consistency, integrity, and compliance.
• Define data integration patterns for synchronizing MDM solutions with operational and analytical systems.
• Design and implement DataHub, DataWarehousing applications
• Microservices & API-driven Architecture
• Design microservices-based data platforms for real-time, event-driven data processing.
• Define API contracts and integration patterns for secure and scalable data access across cloud and on-prem environments.
• Implement RESTful, GraphQL, and event-driven APIs for data services, ensuring performance and reliability.
• Optimize data services using containerization (Docker, Kubernetes) and cloud-native architectures.
• Enterprise Data Management & Integration
• Architect data pipelines and ETL/ELT workflows for structured and unstructured data sources.
• Lead the integration of MDM with data lakes, data warehouses, and transactional systems.
• Work with data governance teams to implement metadata management, data lineage, and quality frameworks.
• Evaluate and implement data streaming solutions (e.g., Kafka, AWS Kinesis) for real-time data
• processing.
• Collaboration & Stakeholder Engagement
• Partner with business stakeholders to understand data needs, pain points, and solution requirements.
• Guide engineering and development teams in best practices for data modeling, API development, and microservices orchestration.
• Act as a thought leader in data architecture, promoting best practices and emerging technologies.