Senior Manager, Data Engineering

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $214k - $302k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Palmetto

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚡ Energy

💸 Finance

Energy • Finance

Palmetto is a company that offers comprehensive solar energy solutions for residential properties. It provides various solar services including design, financing, installation, maintenance, and energy system management. Palmetto aims to make clean energy accessible with its solar feasibility modeling platform and offers flexible payment options like solar lease, purchase, and subscription plans. The company prides itself on exceptional customer service and social impact, helping homeowners to manage their energy consumption efficiently while reducing their environmental footprint.

📋 Description

• Lead, hire, develop, and retain a team of data engineers • Set team expectations, provide feedback, and build career paths • Set the data engineering roadmap in alignment with company objectives • Weigh trade-offs and determine team priorities • Deliver cross-team projects on time and on budget • Set target architecture for ingestion, modeling, semantic layer, and governance • Review designs and write code when helpful • Own reliable pipelines with clear SLAs and consistent metric definitions • Direct the secure serving layer and APIs, including priorities and standards • Build governed, agent-ready data with source-traceable answers • Evaluate data platform and tooling vendors and negotiate contracts within approval limits • Manage warehouse and tooling costs • Partner with finance, operations, sales, marketing, and product on evolving data needs • Report to the VP, Engineering

🎯 Requirements

• 10+ years in software or data engineering, including 5+ years managing engineers • A record of hiring well, developing people, and building strong teams • Experience designing enterprise data architecture, including warehouse, modeling, lineage, and governance • Hands-on experience with a modern warehouse and transformation framework, such as Snowflake, BigQuery, or dbt • SQL proficiency • Fluency in one backend language, such as Python, sufficient to review and contribute • Demonstrated agentic engineering beyond prompting, including using coding agents and bringing agentic practices to a team • Working knowledge of production APIs, authorization and access control, and PII handling • Record of delivering data platform projects spanning multiple teams • History of building consensus with partners outside engineering, including finance, capital markets, and accounting • Experience preparing governed data for AI consumers, with answers traceable to their source • Experience evaluating vendors and negotiating contracts • Successful completion of a background check

🏖️ Benefits

• Unlimited PTO • Medical coverage • Dental coverage • Vision coverage • Paid parental leave • Retirement plans • Promote-from-within culture • Talent development and career growth opportunities • Purpose-driven work • Collaborative, impact-oriented, and balanced work culture