Senior Manager, Data Engineering

palmettocleantech; Stati Uniti; Remoto; USD 180.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote position in the United States

Descrizione del lavoro

Palmetto CleanTech is seeking a data engineering leader to drive a platform turning business data into secure, reliable services for product teams, partners, and AI agents. This player‑coach role blends team development and roadmap ownership with hands‑on architecture, design reviews, and occasional coding.

You will define data platform architecture across ingestion, modeling, governance, and APIs, deliver reliable pipelines, set data access standards, and partner with finance, operations,

Competenze

• At least 10 years in software or data engineering, including five or more years managing engineers.
• Demonstrated ability to hire and develop engineers and build effective teams.
• Experience designing enterprise data architecture, including warehouses, data modeling, lineage, governance, and architecture reviews.
• Strong SQL and hands-on experience with a modern warehouse and transformation framework such as Snowflake, BigQuery, or dbt; fluency in a backend language such as Python.
• Experience with production APIs, access control, and handling personally identifiable information.
• Track record delivering cross-team data platform projects, setting priorities, and building consensus with non-engineering partners.
• Practical experience using coding agents and introducing agentic engineering practices to a team, including preparing governed data whose answers can be traced to source.
• Experience evaluating vendors and negotiating contracts.

Mansioni

• Hire, coach, and retain data engineers; set expectations, provide feedback, and create career paths that reduce reliance on individual team members.
• Define the data platform roadmap and architecture across ingestion, modeling, semantic definitions, and governance; make priorities and trade-offs clear.
• Deliver reliable pipelines with service expectations, consistent metric definitions, and data suitable for AI consumers.
• Set standards and priorities for secure data serving through APIs and other access layers, including authorization and auditability.
• Partner with finance, operations, sales, marketing, and product to understand needs and turn them into practical recommendations.
• Evaluate vendors, negotiate contracts within delegated authority, and manage warehouse and tooling costs.

Conoscenze

SQL

Python

Data governance

Team leadership

Cross-functional collaboration

Vendor negotiation

Strumenti

Snowflake

BigQuery

dbt

Descrizione del lavoro

Role overview

Lead a data engineering team responsible for turning business data into secure, reliable services that product teams, business functions, partners, and AI agents can use directly. This player-coach role combines team development and roadmap ownership with hands-on architecture, design reviews, and occasional coding. The platform should provide a consistent view of the customer journey, dependable metrics, and governed access with answers traceable to their sources.

Responsibilities

• Hire, coach, and retain data engineers; set expectations, provide feedback, and create career paths that reduce reliance on individual team members.
• Define the data platform roadmap and architecture across ingestion, modeling, semantic definitions, and governance; make priorities and trade-offs clear.
• Deliver reliable pipelines with service expectations, consistent metric definitions, and data suitable for AI consumers.
• Set standards and priorities for secure data serving through APIs and other access layers, including authorization and auditability.
• Partner with finance, operations, sales, marketing, and product to understand needs and turn them into practical recommendations.
• Evaluate vendors, negotiate contracts within delegated authority, and manage warehouse and tooling costs.

Requirements

• At least 10 years in software or data engineering, including five or more years managing engineers.
• Demonstrated ability to hire and develop engineers and build effective teams.
• Experience designing enterprise data architecture, including warehouses, data modeling, lineage, governance, and architecture reviews.
• Strong SQL and hands-on experience with a modern warehouse and transformation framework such as Snowflake, BigQuery, or dbt; fluency in a backend language such as Python.
• Experience with production APIs, access control, and handling personally identifiable information.
• Track record delivering cross-team data platform projects, setting priorities, and building consensus with non-engineering partners.
• Practical experience using coding agents and introducing agentic engineering practices to a team, including preparing governed data whose answers can be traced to source.
• Experience evaluating vendors and negotiating contracts.

Benefits and work setup

• Remote position based in the United States.