Senior Manager, Data Engineering

Posted An Hour Ago
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Hiring Remotely in United States
Remote or Hybrid
Senior level
Greentech • Software • Energy
The Role
Leads and grows the data engineering team while owning enterprise data architecture, ingestion, modeling, semantic layers, governance, secure APIs, and reliable platform outcomes. Partners with finance, operations, sales, marketing, and product to deliver governed, traceable data for products and AI agents. Sets the roadmap, manages vendors and costs, reviews architecture, contributes code, and delivers cross-functional data platform projects.
Summary Generated by Built In

Company Description

Palmetto is a consumer energy platform that provides homeowners with a single destination to discover, purchase, finance, install, monitor and manage home energy products and services. By offering one integrated platform across solar, battery storage, HVAC, heat pumps and more, Palmetto helps homeowners make home energy more affordable, reliable and accessible. Today Palmetto serves hundreds of thousands of homeowners, across 30+ states, building the operating infrastructure for the consumer energy transition, one home at a time.

Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world.

Location

This position will be remote based in the United States.

Reporting

This position will report to the VP, Engineering.

Summary of Role 

You will lead the team that makes Palmetto's data usable by product teams, finance, operations, partners, and AI agents. Today much of our data lives in reporting dashboards. Your team builds the platform that lets products and AI tools use that data directly, with the right access controls, audit trails, and speed. The result is one consistent view of the whole customer journey, from sales and lending to installation, interconnection, and years of production data.

This is a player-coach role. You will lead a team of data engineers. You set priorities and hold the bar, and you stay close enough to the work to shape architecture, review designs, and write code when it helps. You are accountable for the platform's outcomes. Your team owns the technical design and build of the secure access path. AI agents are first-class users of our platform, and we build with agents ourselves.

Strategic & Tactical

  • Lead and grow the team. Hire, develop, and retain strong data engineers. Set clear expectations, give honest feedback, and build career paths so no system depends on one person.
  • Set direction and deliver. Set the roadmap in line with company objectives, weigh trade-offs openly, and be clear about what the team is not doing. Deliver cross-team projects on time and on budget.
  • Own the data architecture. Set the target architecture for ingestion, modeling, the semantic layer, and governance. Review designs and write code when it helps.
  • Own the platform outcomes. Be accountable for reliable pipelines with clear SLAs, one consistent set of metric definitions, and agent-ready data whose answers trace back to source.
  • Direct the access path. Be accountable for the secure serving layer and APIs. Your team designs and builds them, and you set priorities and standards.
  • Build governance in. Experience preparing governed data for AI consumers, with answers that trace back to their source.
  • Manage vendors. Evaluate data platform and tooling vendors, negotiate and sign contracts within your approval limit, and keep warehouse and tooling costs in check.
  • Partner across the company. Work with finance, operations, sales, marketing, and product to understand their evolving data needs, and bring concrete recommendations to business owners.

Qualifications

  • 10+ years in software or data engineering, including 5+ years managing engineers.
  • A record of hiring well, developing people, and building strong teams.
  • Data Architect depth: you have designed enterprise data architecture (warehouse, modeling, lineage, governance) and led architecture reviews.
  • Hands-on depth in a modern warehouse and transformation framework (e.g., Snowflake, BigQuery, dbt) and SQL, with enough fluency in one backend language (e.g., Python) to review and contribute.
  • Demonstrated agentic engineering beyond prompting: you use coding agents in your own work and have brought agentic practices to a team.
  • Working knowledge of production APIs, authorization and access control, and PII handling.
  • A record of delivering data platform projects that span multiple teams, including deciding what not to build.
  • A history of building consensus with partners outside engineering, including finance, capital markets, and accounting.
  • Experience preparing governed data for AI consumers, with answers that trace back to their source.
  • Experience evaluating vendors and negotiating contracts.

Employment is contingent upon the successful completion of a background check. 

Equal Employment Opportunity

Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law.

To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for four years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full privacy policy.

For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy

Skills Required

  • 10+ years of experience in software or data engineering
  • 5+ years managing engineers
  • Experience hiring, developing, and retaining strong engineering teams
  • Enterprise data architecture experience, including warehouses, modeling, lineage, and governance
  • Hands-on experience with a modern data warehouse and transformation framework such as Snowflake, BigQuery, or dbt
  • Strong SQL proficiency
  • Fluency in at least one backend programming language such as Python
  • Experience using coding agents and implementing agentic engineering practices beyond prompting
  • Working knowledge of production APIs, authorization, access control, and PII handling
  • Experience delivering multi-team data platform projects
  • Experience building consensus with finance, capital markets, and accounting partners
  • Experience preparing governed data for AI consumers with answers traceable to source
  • Experience evaluating data platform and tooling vendors and negotiating contracts
  • Successful completion of a background check

Palmetto Clean Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Palmetto Clean Technology and has not been reviewed or approved by Palmetto Clean Technology.

  • Fair & Transparent Compensation — Pay is considered fair-to-good across many roles, with compensation often described as competitive. Some positions highlight strong earning potential tied to performance.
  • Leave & Time Off Breadth — Unlimited or trust-based PTO is widely emphasized and is available early in tenure. Paid leave options for family needs complement the time-off structure.
  • Flexible Benefits — A primarily remote setup and flexible schedules are prominent elements of the package. These arrangements are frequently valued alongside core health and leave offerings.

Palmetto Clean Technology Insights

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The Company
HQ: Charlotte, North Carolina
500 Employees
Year Founded: 2010

What We Do

Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With the belief that consumers can have it all, we are an uncompromising energy company that makes going green a no-brainer. Our award winning platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. We operate at the intersection of B2B and D2C, offering software, financial tools, and services that drive real environmental impact - without compromising value. Our clean Energy Platform makes solar and home electrification easy to access, easy to afford, and easy to manage. We deliver flexible energy plans, real-time insights, and seamless customer experiences through offerings like our Consumer App and Marketplace, LightReach™ Solar and HVAC Subscriptions, and Asset Management tools - with more innovations on the way. How We Think We've always been told a cleaner future means sacrifice. Turn it down, pay more, wait forever. We don't buy that. At Palmetto, we believe the future is abundant. We help homeowners have it all: lower energy bills, smarter homes, and a healthier planet. Who We Serve We work with homeowners, clean energy brands, and local installation partners to help them grow their impact, revenue, and customer reach. Our Community Impact • 1+ terawatt-hour of clean solar energy generated • 740,000+ tons of carbon emissions avoided • 90,000+ homes powered for a year

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