Senior Cloud Data Engineer- Technology R&D

Signant Health is a global evidence generation company that supports clinical trials with smart technology and scientific expertise. The Senior Cloud Data Engineer will lead development efforts in the R&D group, focusing on building data strategies and managing data architectures while collaborating with business stakeholders.

Responsibilities:

• Be part of the Data team responsible for building the central data strategy for data science, analytics, business intelligence, and agentic workflows
• Lead sprint development and coordinate work streams across teams — this is a hands-on data engineering role, not a management-only position
• Work with architecture to design and implement high-level technical architectures for both streaming and batch processing systems, with a focus on scalability and efficiency
• Conduct proof-of-concepts (POCs) on emerging technologies and architectural patterns to keep the team ahead of industry trends
• Collaborate directly with business and technology stakeholders to translate requirements into product features aligned with strategic goals
• Lead implementation of new data management initiatives and restructure existing data architectures for improved performance
• Proactively identify and resolve data quality and reliability issues before they become operational problems
• Clean, prepare, and optimize large-scale datasets for ingestion and consumption across platforms
• Conduct collaborative reviews of designs, code, test plans, and dataset implementations to uphold data engineering standards
• Analyze and profile data to inform scalable, high-performance solution design

Requirements:

• Significant cloud experience (AWS/Azure/Google) moving data at scale, with exposure to large-scale data technologies such as AWS Redshift, Google BigQuery, Snowflake, Databricks, or Azure Synapse
• Experience using serverless techniques in a cloud environment to build data pipelines that move data at scale to centrally warehoused, defined schemas
• Hands-on experience integrating AI tools and agentic coding workflows throughout the SDLC
• CI/CD-first mindset with experience building automated deployment pipelines
• Proven track record leading development efforts from initial scoping through product delivery for data movement
• Composed under pressure, with the ability to manage multiple workstreams simultaneously
• Bachelor's degree in a relevant field, or equivalent professional experience
• Strong problem-solving skills with good judgment on when to escalate
• Exceptional attention to detail and commitment to high-quality output
• Snowflake for cloud data warehousing
• Agentic conversational BI tooling
• Exposure to clinical or healthcare data environments
• Kafka or similar tools for real-time data streaming