Lead Data Platform Engineer

Summary

Join Qventus as a Lead Data Platform Engineer to spearhead the evolution of our next-generation data platform. You will drive strategic evolution and design of data platform investments and pipelines, working closely with Architects. Provide technical leadership in identifying, monitoring, and driving initiatives to ensure our data platform remains scalable, reliable, and efficient. Collaborate with solution experts to identify missing platform functionality and lead new build or optimization initiatives. Partner with cross-functional partners and data users to translate needs into technical solutions and lead technical scoping, implementation, and execution of improvements. Be data curious and excited to impact the team and company, improving healthcare operations. This role offers a chance to make a significant contribution to a mission-driven team.

Requirements

• Demonstrated leadership experience (2+ years) guiding and mentoring data engineering teams in cross-functional collaborations with product managers and Architects
• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
• 6+ years of hands-on experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
• Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML
• Experience building, designing, and/or developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse)

Responsibilities

• Lead scoping and execution of critical improvements to our data platform to maintain overall system health and improve data observability in lieu of changing product needs, and to optimize innovation velocity
• Support production ML Ops functionality and advance the quality of our core ML & LLM platform capabilities
• Partner strategically with data science, analytics, and data engineering leads and Architects to gather feedback and drive the development of scalable platform solutions that unlock new features within the defined architectural framework
• Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
• Support solution development; translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.)

Preferred Qualifications

• Proficiency in interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills with the ability to translate these insights into recommendations for platform improvements that align with the overall architecture
• Relevant industry certifications in various Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.)
• Experience designing and supporting multi-cloud architectures (particularly for ML / AI systems)
• Experience with data visualization tools and analytics technologies (Sigma, Looker, PowerBI, etc.)
• Degree in Computer Science, Engineering, or related field
• Experience working with healthcare data and HIPAA data protection

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness
• Technology stipends
• Generous employee referral bonus
• Employee stock option awards