Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
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