Data Product Lead

Scorpion Therapeutics; New Brunswick (NJ); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical/dental/vision

401(k) retirement plan

Paid time off

Job summary

Scorpion Therapeutics is seeking a Data Product Lead / IT Lead – Technical Product Owner, Data Enablement, to own and evolve our core data platform and data quality capabilities across CBT. This individual contributor role focuses on building, operating, and improving platforms, ensuring secure, scalable data delivery.

The role emphasizes data quality, scalability, and governance, with collaboration across engineers, product partners, and governance stakeholders to enable reliable data-driven

Qualifications

• Bachelor’s degree in CS/Engineering/Information Systems or related.
• 5–7+ years in data engineering/analytics platforms/data infrastructure.
• 3+ years hands-on with modern data platforms/Lakehouse (e.g., Databricks).
• Production experience implementing ingestion/transformation/validation.
• Knowledge of data quality concepts/tools (validation, monitoring).
• Working knowledge of CI/CD, infrastructure-as-code, secure engineering; strong communication and cross-team collaboration.

Responsibilities

• Own and operate enterprise data platforms and quality capabilities.
• Build and maintain ingestion, transformation, and consumption components with platform standards.
• Design and apply data quality checks and governance with data owners.
• Develop batch and streaming pipelines with near-real-time patterns where applicable.
• Ensure reliability, monitoring, incident response, and cost-aware data movement.
• Uphold security, access controls, logging, and auditability; implement IaC and CI/CD.

Skills

Data engineering

Analytics platforms

CI/CD

Data quality

Security engineering

Cross-team collaboration

Cloud experience

Education

Bachelor’s degree in CS/Engineering/Information Systems or related

Tools

Databricks

Azure

AWS

Job description

Position Summary

Search for a Data Product Lead / IT Lead – Technical Product Owner, Data Enablement (individual contributor) responsible for building, operating, and continuously improving core data platform and data quality capabilities used across Corporate Business Technology (CBT).

Key Responsibilities

Data Platform Enablement

• Support technical ownership and day-to-day operation of enterprise data platforms (including Databricks Intelligence Platform).
• Implement and maintain platform standards, reusable components for ingestion, transformation, and consumption.
• Support medallion (Bronze/Silver/Gold) patterns (schema design, performance, data lifecycle).
• Partner with infrastructure/platform teams to ensure stable, secure, production-ready environments.

Data Quality Products & Trust Enablement

• Implement and support enterprise data quality tools/frameworks.
• Design/apply data quality checks (validation, completeness, freshness, reconciliation).
• Translate quality requirements with data owners/governance partners.

Pipeline Implementation & Support

• Build/support batch and streaming pipelines aligned to platform/quality standards.
• Enable near-real-time/event-driven patterns where appropriate.
• Include monitoring, failure handling, and data validation.

Reliability, Operations, Cost Awareness

• Support reliability, monitoring, incident response; contribute to dashboards/alerts/runbooks.
• Apply cost-aware patterns for compute, storage, and data movement.
• Address performance, stability, and data issues.

Engineering Practices & Security

• Follow version control, CI/CD, testing, and infrastructure-as-code.
• Ensure security, privacy, and access control compliance; support logging/metadata/lineage for auditability.

Collaboration & Continuous Improvement

• Deliver platform improvements with engineers/platform managers/product partners; share patterns/documentation; improve usability, reliability, and developer experience.

Required Qualifications

• Bachelor’s degree in CS/Engineering/Information Systems or related.
• 5–7+ years in data engineering/analytics platforms/data infrastructure.
• 3+ years hands-on with modern data platforms/Lakehouse (e.g., Databricks).
• Production experience implementing ingestion/transformation/validation.
• Knowledge of data quality concepts/tools (validation, monitoring).
• Working knowledge of CI/CD, infrastructure-as-code, secure engineering; strong communication and cross-team collaboration.

Preferred Qualifications

• Experience operating/supporting enterprise data quality platforms.
• Exposure to data catalog/metadata/lineage tools.
• Legacy ETL/warehouse modernization/migration experience.
• Familiarity with Python, SQL, Spark, automation/orchestration scripting.
• Cloud experience (Azure and/or AWS).

Benefits

• Medical/dental/vision, life insurance, disability, business accident insurance, group legal; retirement plan and 401(k); vacation (120 hrs/yr), sick time (40 hrs/yr; 56 hrs/yr in WA), holiday pay (13 days), other time off (including parental leave).

Role Characteristics

• Individual contributor; no direct people management; hands-on technical delivery, enablement, and product ownership.