Senior Cloud Data Engineer- Technology R&D

About Signant Health At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency. Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals. If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health. About the Role As a Senior Cloud Data Engineer embedded within Signant Health's R&D group, you will be a hands-on leader and builder — not a manager from the sidelines. You will lead sprint development efforts and guide build teams through complex technical challenges. R&D at Signant is actively moving toward coding leaders on build teams, and this role reflects that direction. You will also interface directly with business stakeholders to translate requirements into architecture and deliverables. A core focus of the entire R&D organization right now is AI agentic development — using AI-assisted and autonomous coding workflows to accelerate delivery. Candidates who bring experience in this space will stand out. Key Accountabilities 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. Knowledge, Skills & Attributes Essential: 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. Desirable: 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. Why Signant Health? At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission. We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo. If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it. At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all candidates are required to be verified through a thorough background check and identity verification to confirm eligibility for employment. Unsolicited resumes submitted by agencies or third-party recruiters directly to hiring managers or any Signant Health employee will not be considered and will not obligate Signant Health to any fees or terms associated with the submission.