Job Title : Data Solution Architect with MDM & Healthcare exp is must
Location : Remote
Duration: Long Term
Experience level: 15+ years
Job Description:
Summary
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
product/business stakeholders to develop innovative data solutions.
Key Responsibilities:
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 GCP 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 GCP) 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 (GCP)
and MDM technologies.
Thanks & Best regards,
Nelson White
Sr. Recruiter | Talent Acquisition Team
Conquest Tech Solutions, Inc.
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