Strategic Data Platform Enablement Lead

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

Job summary

Madison-Davis, LLC seeks a Lead Data Platform Engineer to scale adoption of a strategic enterprise data platform. This role sits between core platform engineering, architecture, and business-aligned data teams, guiding onboarding, reusable frameworks, and engineering standards.

The ideal candidate has 12+ years in data engineering, strong Python/PySpark/SQL, and demonstrated leadership in cross-team platform enablement, governance, and quality controls.

Qualifications

• 12+ years of experience in data engineering, cloud data platforms, data warehousing, or enterprise data architecture.
• Strong Python, PySpark, and SQL experience.
• Hands-on background with Databricks, Snowflake, or similar cloud data platforms.
• Experience with ETL/ELT, data pipelines, orchestration, data quality, and platform standards.
• Ability to review code, troubleshoot data engineering issues, and discuss technical tradeoffs.
• Experience supporting cross-team platform adoption, enablement, onboarding, or COE initiatives.
• Strong stakeholder management across business, technology, architecture, and engineering teams.
• Ability to lead or mentor engineers in a distributed team environment.
• Strong documentation, training, and communication skills.

Responsibilities

• Lead platform enablement and onboarding for data product and domain teams.
• Help teams understand intake steps, access needs, platform setup, and delivery standards.
• Drive adoption of reusable data engineering frameworks and common development patterns.
• Partner with architects, engineers, and stakeholders to translate requirements into clear platform needs.
• Support data quality, lineage, logging, metrics, auditability, and governance practices.
• Provide technical guidance, code review, and troubleshooting support where needed.
• Lead and coordinate a small group of engineers supporting COE and enablement work.
• Improve documentation, training, and operating models for platform adoption.

Skills

Python

PySpark

SQL

Data governance

Mentoring

Stakeholder management

Cloud data platforms

Tools

Databricks

Snowflake

Airflow

Job description

Madison-Davis, LLC seeks a Lead Data Platform Engineer to scale adoption of a strategic enterprise data platform. This role sits between core platform engineering, architecture, and business-aligned data teams, guiding onboarding, reusable frameworks, and engineering standards.

The ideal candidate has 12+ years in data engineering, strong Python/PySpark/SQL, and demonstrated leadership in cross-team platform enablement, governance, and quality controls.