GC,GC-EAD,TN,USC Only

Job Title: Data Solutions Architect

Location: USA, MO (Remote)

Job Description:

Design and implement MDM frameworks to centralize and standardize enterprise data across domains e.g., PartyPerson, Clinical, etc. 

? Develop data governance and stewardship models to ensure data consistency, integrity, and compliance. 

2. Microservices APIdriven Architecture 

? Design microservicesbased data platforms for real-time, event-driven data processing. 

? 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 ETLELT 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. 

4. Collaboration & Stakeholder Engagement 

? Partner with business stakeholders to understand data needs, pain points, and solution requirements. 

? 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