Senior Data Platform Engineer
Later · Data · Senior · 1mo ago
$125k – $205k
per year
Open to candidates living in United States, Canada.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to candidates living in United States, Canada.
“Boston, MA; San Francisco, California, United States; Vancouver, British Columbia, Canada”
Offices are in Boston, Vancouver (BC), and Vancouver (WA), with remote positions open across the United States and Canada.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As a Senior Data Platform Engineer at Later, you will own the foundation supporting the company's data ecosystem. You will design, build, and evolve the infrastructure, backend services, and platform capabilities that move data across BigQuery on GCP and operational databases in AWS. Treating the platform as a product, you will build tooling, pipelines, and data foundations that empower analytics, engineering, and AI applications.
What you'll do
- Design and own scalable infrastructure across ingestion, orchestration, storage, transformation, and consumption.
- Build reliable batch and real-time pipelines and dbt transformation layers across GCP and AWS.
- Develop APIs, backend services, and integrations that move data securely and cost-effectively.
- Implement observability, data quality checks, access controls, and performance optimizations.
- Prepare and govern data foundations for machine learning, LLMs, and AI applications.
What you bring
- 6+ years in data engineering, backend engineering, or platform engineering owning production data systems at scale.
- Strong backend programming skills (Python or similar), solid SQL, and dbt experience.
- Hands-on cloud experience across GCP (BigQuery) and AWS.
- Experience with infrastructure as code, CI/CD, and workflow orchestration systems.
- Experience with batch and streaming architectures, data governance, and access controls.
About Later
Later is an influencer marketing platform combining proprietary social interaction data, creator relationships, and AI to help global brands execute impactful campaigns.
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