Data Product Lead

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).

• 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.

• 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.

• 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.

• 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.

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

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

• 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.

• 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).

• 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).

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