Coalition is looking to evolve its enterprise data platform by building the next generation of scalable, secure, and high-quality data infrastructure on Snowflake.
Requirements
- 8+ years of overall data engineering or software engineering experience, with 3+ years managing teams of 5 or more data/analytics engineers.
- Hands-on expertise designing and managing high-volume, reliable, and scalable cloud-based data platforms (preferably with substantial experience in Snowflake environments).
- Demonstrated success in implementing and optimizing end-to-end ELT/ETL workflows using tools such as DBT, Fivetran, and Snowpipe.
- Strong technical depth to effectively assess data architecture, pipelining challenges, system trade-offs, and project risks.
- Experience integrating data engineering solutions with APIs or other data service endpoints.
- Expert-level technical knowledge in one or more fields such as data warehousing, data modeling, or pipeline orchestration.
- Tech stack expertise: Advanced proficiency with Snowflake; strong experience using DBT (or similar modeling tools), Fivetran, and Snowpipe for data pipeline automation and orchestration.
Responsibilities
- Lead and coordinate data engineering activities to ensure successful, timely delivery of data solutions and product features, optimizing for performance, governance, and business value.
- Serve as a hands-on technical leader and mentor, offering expertise in modern data architecture, ELT/ETL, pipeline orchestration, and engineering excellence in Snowflake and cloud-native environments.
- Provide management, guidance, and career growth opportunities for engineers; proactively identify skill gaps and foster a culture of continuous learning and improvement.
- Balance technical debt remediation with delivering new features, aligning technical strategy to business priorities and maximizing team productivity.
- Ensure robust end-to-end instrumentation and best practices for the entire data lifecycle—from data acquisition and modeling through transformation, quality assurance, and production deployment.
- Collaborate with Product, Analytics, and Business partners to balance resourcing, scope, and scheduling for strategic projects.
- Play an active role in building out the Data Engineering function, from recruiting and onboarding to cultivating an inclusive, high-performing team culture.
Other
- Proven ability to lead, mentor, and inspire individuals with diverse technical backgrounds and experience levels.
- Track record of collaborating effectively with stakeholders across product, analytics, and business teams to achieve impactful outcomes aligned with organizational needs.
- Deep understanding of modern data engineering best practices, and experience choosing and applying the right engineering methodologies for team and project success.
- Proven record of delivering data solutions and managing complex projects across multiple teams or departments.
- Analytical, organized, and adept at managing multiple projects or shifting priorities in a fast-paced environment.
- Detail-oriented in capturing requirements, yet able to balance with broader business objectives and platform vision.
- Excellent communication skills—both written and verbal—demonstrated with cross-functional teams and all organizational levels.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline, or equivalent work experience.
- Prior experience with insurance or security technologies
- In-depth knowledge of AWS infrastructure, CI/CD, and the Atlassian tool suite
- Experience working in the InfoSec, Tech and Cybersecurity markets
- Experience working with data at scale, data science/analytics, and data collection techniques
- Familiar with building service oriented architectures and distributed systems
- We expect candidates to embrace AI-powered tools like Cursor and Co-pilot to aggressively accelerate software delivery and maximize development efficiency, with mandatory adoption required upon joining.
