Technical Lead - Technology R&D
About The Position
As a Technical Lead embedded within Signant Health's R&D group, you will be a hands-on architect and builder — not a manager from the sidelines. You will lead sprint development, guide build teams through complex technical challenges, and serve as the go-to engineering expert on the team. 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.
Requirements
- Bachelor's degree in a relevant field, or equivalent professional experience
- Strong problem-solving skills with good judgment on whether to escalate
- Collaborative by nature — shares knowledge openly and lifts the team
- Composed under pressure with the ability to manage multiple workstreams simultaneously
- Exceptional attention to detail and commitment to high-quality output
- Proactive, team-oriented, and energized by building things that matter
- Hands-on experience integrating AI tools and agentic coding workflows throughout the SDLC
- Proven track record leading development efforts from initial scoping through product delivery
- Strong experience with AWS or Azure cloud platforms for enterprise-scale data strategies
- Experience designing, building, and maintaining a serverless central data platform (Snowflake, Redshift, BigQuery, Azure Synapse, or equivalent)
- Expertise in serverless infrastructure design on cloud platforms
- Advanced skills working with large datasets for ETL/ELT pipelines
- CI/CD-first mindset with experience building automated deployment pipelines
Nice To Haves
- Snowflake for cloud data warehousing
- Agentic development and conversational BI tooling
- Exposure to clinical or healthcare data environments
- Kafka or similar tools for real-time data streaming
Responsibilities
- Lead sprint development and coordinate work streams across teams as the embedded technical expert — this is a hands-on engineering role, not a management-only position
- Design and develop high-level technical architectures for both streaming and batch processing systems, with a focus on scalability and efficiency
- Build reusable components, frameworks, and libraries that empower analytical data products and accelerate development velocity
- 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
- Develop complex automated workflows using advanced scheduling tools
- 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 engineering standards
- Analyze and profile data to inform scalable, high-performance solution design
- Partner closely with product management to break down business requirements into actionable epics and deliverables
Benefits
- Global impact
- Innovation in clinical research and digital health
- Opportunity to work with cutting-edge AI technologies
- Collaborative, global environment
- Opportunities to learn, take ownership, and drive meaningful innovation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
