MDM Architect

1. 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

2. 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.

3. 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.

4. 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.

Required Qualifications:

• Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in Data Architecture, MDM, and Data Integration.
• Proven expertise in designing and implementing MDM solutions (e.g. Reltio, Verato, Semarchy).
• Strong hands-on experience with cloud data solutions. Particularly with Google Cloud Platform services like BigQuery, Dataproc, DataFlow, CloudSQL, CloudRun, Spanner, et
• Strong understanding of microservices, Pub/Sub and API architecture (REST, GraphQL, gRPC).
• Experience with cloud platforms (particularly Google Cloud Platform) and container orchestration (Docker, Kubernetes).
• Experience design stateless and stateful architecture
• Expertise in data modeling, data lakes, data warehouses, and real-time data streaming.
• Hands-on experience with SQL, NoSQL, Cloud databases (BigQuery, CloudSQL, Spanner) and graph databases (e.g., PostgreSQL, MongoDB, Neo4j).
• Familiarity with ETL/ELT tools, data pipelines (Apache Airflow, dbt), and message brokers (Kafka, RabbitMQ).
• Strong problem-solving skills and ability to communicate technical solutions to non-technical stakeholders.
• Healthcare Domain experience
• Experience HL7, FHIR and IBM UDMH Standards/Models

Preferred Qualifications:

• Experience in event-driven architecture and domain-driven design (DDD).
• Familiarity with IaC (Terraform, CloudFormation) for cloud-based data solutions.
• Certifications in cloud platforms (Google Cloud Platform) and MDM technologies.