Data Platform Enablement Lead

Madison-Davis, LLC; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Madison-Davis, LLC is seeking a Lead Data Platform Engineer to drive adoption and enablement for a strategic enterprise cloud data platform within our centralized data technology organization.

The role requires hands‑on data engineering background paired with leadership to guide onboarding, framework adoption, and delivery standards across globally distributed teams. The position emphasizes governance, data quality, and scalable platform practices in a hybrid New York City schedule.

Qualifications

• 12+ years of experience across data engineering, cloud data platforms, data warehousing, enterprise data architecture, or related disciplines.

Responsibilities

• Lead enablement and onboarding for domain teams adopting a shared enterprise data platform.
• Manage and mentor a small team of engineers supporting platform adoption and Center of Excellence activities.
• Guide teams through platform intake, environment configuration, access, permissions, documentation, and delivery methodology.
• Promote adoption of reusable data‑engineering frameworks, shared services, common components, and standardized delivery practices.
• Partner with data engineers, architects, product teams, business users, and domain stakeholders to understand platform requirements and resolve adoption challenges.
• Provide technical guidance across ingestion, transformation, loading, data movement, orchestration, logging, storage, and consumption patterns.
• Troubleshoot platform usage, ETL, access, permissions, data quality, lineage, logging, orchestration, and production‑delivery issues.
• Review technical work and help teams make sound data‑engineering and platform decisions.
• Improve onboarding playbooks, intake forms, technical documentation, support procedures, and training materials.
• Translate recurring user challenges into platform, framework, process, or documentation improvements.
• Establish delivery standards that improve consistency, scalability, maintainability, and auditability.
• Promote strong practices across data quality, lineage, metadata, governance, access control, and regulated enterprise data.
• Support self‑service and semi‑self‑service platform adoption while maintaining appropriate governance guardrails.
• Define or improve adoption metrics, support models, platform processes, and Center of Excellence operating practices.
• Collaborate across globally distributed engineering and stakeholder teams.
• Balance immediate onboarding and troubleshooting needs with longer‑term platform‑adoption strategy.

Skills

Python

PySpark

SQL

Stakeholder management

Tools

Databricks

Snowflake

Job description

Madison-Davis, LLC is seeking a Lead Data Platform Engineer to drive adoption and enablement for a strategic enterprise cloud data platform within our centralized data technology organization.

The role requires hands‑on data engineering background paired with leadership to guide onboarding, framework adoption, and delivery standards across globally distributed teams. The position emphasizes governance, data quality, and scalable platform practices in a hybrid New York City schedule.