Note: The job is a remote job and is open to candidates in USA. Clinical Ink is seeking a Senior Data Platform Architect to lead the design, development, and optimization of its cloud-based data platform. The role establishes engineering best practices, advances data capabilities, integrates AI controls, and collaborates across teams to deliver scalable, secure, high-performing data solutions.
Responsibilities
- 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
Skills
- 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
- MIS
- Life Science/Clinical Trial Data background or experience
Company Overview
Company H1B Sponsorship