[Remote] Sr. Data Platform Architect

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