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# Sr. Data Platform Architect

- **Company:** The Clinical
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Apache ActiveMQ, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Clinical Data Management, Cloud Database, Code Review, Databases, Continuous Integration, Data Governance, Data Infrastructure, Data Integrity, Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Amazon DynamoDB, Oracle Exadata, Information Management, Java Message Service (JMS), Machine Learning, Metadata Repositories, MongoDB, Neo4j, NoSQL, Redis, Power BI, Simple Object Access Protocol (SOAP), Software Engineering, SQL Server Reporting Services, Data Streaming, Tableau (Software), Teradata SQL, Test-Driven Development (TDD), Snowflake, Apache Spark, Information Technology, Data Lineage, Ibm Netezza, Apache Flink, Apache Kafka, Graphql, Data Management, Spotfire, Software Coding, Restful APIs, Stream Processing, Software Version Control, Amazon Redshift, Microservices
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4f9939d37a10d910

## About the Role

* Bachelor's degree in Computer Science or Software Engineering, MIS (preferred but not required), or combination of education/relevant experience.
 * 10+ years of industry experience as a data engineer, software engineer or related field with experience working with large or complex datasets.
 * 5+ years of experience as a data solution architect, enterprise architect or software architect designing data platform solutions on AWS, GCP and/or Azure.
 * 10+ years of data warehouse experience with cloud data warehouses (ex. Snowflake, AWS Redshift) or MPP databases (Oracle Exadata, Teradata, IBM Netezza).
 * 5+ years of experience with NoSQL databases (key-value, document, graph, column-oriented) such as Mongo DB, Dynamo DB, Redis, Neo4J, etc.
 * 5+ years of experience designing and building data warehouses using Data Vault 2.0 and/or Dimensional modeling, dbt.
 * 5+ years of experience developing microservices and APIs using REST, SOAP, GraphQL, etc.
 * 5+ years of experience with messaging, pub/sub, streaming, stream processing technologies like JMS, ActiveMQ, Apache Kafka, AWS Kinesis, Apcahe Spark, Apache Flink and Materialize.
 * Experience with AI tools and help establish and maintain control frameworks and technical guardrails supporting AI and Generative AI solutions.
 * Experience with reporting and visualization tools such as PowerBI, Tableau, Spotfire and SSRS.
 * Experience with other information management disciplines including data governance, data science, machine learning, data quality, data catalogs and data lineage.
 * Strong communication skills with ability communicate key concepts effectively with technical staff, business stakeholders and senior management.
 * Life Science/Clinical Trial Data background or experience preferred but not required.

## Description

Clinical Ink is seeking a Sr. Data Platform Architect to join our Data Platform Engineering team based in the United States. As the Sr. Data Platform Architect, you will lead the design, development, and optimization of Clinical Ink's cloud-based data platform, ensuring scalable, secure, and high-performing data solutions. This role will drive technical innovation, establish engineering best practices, and collaborate across teams to advance data capabilities, including the responsible integration of AI and emerging technologies. The Sr. Data Platform Architect's responsibilities include:

 * Lead the design, implementation and maintenance of a world class, cutting-edge cloud-based data platform using best practices for data integrity, usability, performance, scalability, and extensibility.
 * Lead the adoption of software engineering best-practices at Clinical Ink, including agile methodologies, coding standards, version control, continuous integration, code reviews and test-driven development.
 * Manage relationships with colleagues, peers, and stakeholders in a matrixed environment, driving a culture of cross-team collaboration and ensuring successful delivery and adoption of data technology.
 * Mentor, train, and coach new and junior team members as needed/required.
 * Drive integration of AI controls into technology delivery, operational processes, and platform onboarding activities.