Senior Data Platform Engineer

Summary

Join Qventus as a Senior Data Platform Engineer and lead the design, development, and management of our data platform and pipelines. You will ensure the platform's scalability, reliability, and efficiency while collaborating with cross-functional teams. Responsibilities include scoping and executing improvements, providing data engineering expertise, and supporting solution development. You will work with data science teams to support ML Ops and translate product visions into functional data pipelines. The ideal candidate possesses strong communication skills, experience with various data architectures, and a passion for improving healthcare operations. Qventus offers a competitive salary and benefits package, including open paid time off, parental leave, professional development opportunities, wellness programs, technology stipends, employee referral bonuses, and stock options.

Requirements

• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
• Experience working with Data Science teams to support ML Ops
• 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, Lambda)

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
• Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
• When needed 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

• 3+ years of 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
• Interest in mentoring and supporting new developers
• Robust aptitude for interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills
• Relevant industry certifications in a variety of 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 (Looker, Tableau, 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