Lead Data Engineer
- USD 155,000 to 175,000 per year
- Remote, United States
- Lead
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Hands-on lead for a marketing agency's data stack, building pipelines and dbt models in Snowflake and shaping where the platform goes next.
About the role
Ownership sits with the data infrastructure behind client reporting, measurement, internal operations and AI work. The role starts by strengthening the platform with the team and outside partners, then grows into technical leadership and a small support team.
At a glance
- Pay
- USD 155,000 to 175,000 per year
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Snowflake, dbt, SQL, Python, Fivetran, Airbyte, GA4, Salesforce
- Posted
- 23 Oct 2026
- Last checked
- 28 Oct 2026
What you will do
- Build and maintain tested, documented pipelines and dbt models in Snowflake
- Fix breaks at the root before account teams or clients notice
- Maintain access controls, privacy and consent rules for data governance
- Structure data with clear semantic layers and metadata so AI agents can use it
- Shape architecture and roadmap with the SVP of data, including build versus buy calls
What they look for
- 7 or more years in data or analytics engineering, including lead or senior ownership of a production platform
- Deep hands-on Snowflake experience
- Strong dbt and advanced SQL, plus working Python
- Experience integrating SaaS and marketing APIs such as ad platforms, GA4, Salesforce and HubSpot
- A record of shaping technical direction rather than only executing tickets
- Clear communication with technical and non-technical audiences
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job hbunlzqejqQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Lead Data Engineer as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 155,000 to 175,000 per year.
What experience is needed?
It is a lead role. The posting asks for: 7 or more years in data or analytics engineering, including lead or senior ownership of a production platform; deep hands-on Snowflake experience; strong dbt and advanced SQL, plus working Python. Skills it names include Snowflake, dbt, SQL, Python.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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