Senior Data Platform Engineer

About Later Later is the leading influencer marketing and social partner built on insight, not guesswork. We help brands choose the right creators and launch campaigns with confidence, backed by intelligence you can trust and experts who know how to make it work. Learn more at https://linkin.bio/latermedia/

Later

Influencer marketing for tastemakers and culture shapers ❤️‍🔥

Influencer MarketingCreator EconomyDigital Marketingand Link in bio tool

L

later.com

201-500 employees

Marketing Services

Boston, Massachusetts

2014

Privately Held

86k LinkedIn followers

Raised $276.4M

• Design and own scalable infrastructure across ingestion, orchestration,
• storage, transformation, and consumption, including our BigQuery warehouse
• and lakehouse. Make architectural decisions, explain the tradeoffs, and
• modernize the parts that have outgrown their original design.
• Build reliable batch and real-time pipelines and dbt transformation layers.
• Evolve our orchestration (GCP-native tools plus our custom orchestrator) and
• shape our ingestion strategy, including how we evaluate Fivetran against
• custom connectors.
• Spot weaknesses in the platform and drive the fixes. Mentor other engineers
• and raise the technical bar.
• Build the APIs, services, and integrations that move data in and out of the
• platform, including secure, cost-aware data movement between GCP and AWS.
• Manage infrastructure as code and automate deployment with CI/CD.
• Build observability, data quality checks, and access controls, and optimize
• performance and cost. Create reusable tooling and standards that make the
• right way the easy way.
• Make trusted company data accessible for analytics, machine learning, and AI
• applications, including LLMs and AI agents. Invest in data quality, metadata,
• lineage, governance, and freshness.
• Design the platform to absorb new AI use cases without major rework, and
• partner with AI/ML, product, and engineering teams on what they need.

Required

• 6+ years in data engineering, backend engineering, or platform engineering,
• with a track record of owning production data systems at scale and improving
• their reliability, performance, and cost.
• Strong backend programming skills (Python or similar), solid SQL, and
• experience with dbt or a similar transformation framework.
• Hands-on cloud experience, ideally GCP and BigQuery, and comfort working
• across more than one cloud.
• Experience with infrastructure as code, CI/CD, and workflow orchestration.
• Experience with batch and streaming architectures, and a working
• understanding of security, access control, and data governance.
• The judgment to make architectural decisions and explain the tradeoffs to
• technical and non-technical partners.

Preferred

• Kubernetes, and experience migrating or redesigning orchestration systems.
• Managed ingestion tools like Fivetran.
• Experience building internal platforms or tooling that other engineers adopt.
• Data foundations for AI, such as vector stores, feature pipelines, or
• governed LLM access.

• We take a market-based & data-driven approach to compensation. We leverage data
• from trusted third-party compensation sources to help us understand the market
• value of a role based on function, level, geographic location, and scope. We
• evaluate compensation bi-annually, including performance and market-related
• factors.
• Our salaries are benchmarked against market Total Cash Compensation for the
• geographic location of our job posting. Compensation for some roles is
• structured as On Target Earnings (OTE = base + commission/variable) while for
• others it is structured as Salary only. The salary range listed for this role
• reflects the zones that applies to the location of this posting.
• To comply with local legislation and ensure transparency, we share salary ranges
• on all job postings. Skills, experience and other factors help determine the
• final salary we offer which may vary from the original range posted.
• Additionally, all permanent team members are eligible to participate in various
• benefits plans as part of their overall compensation package.
• For candidates located in the US: $125,000-165,000 USD
• For candidates located in the Canada: $110,000-160,000 CAD
• We're committed to building an inclusive, supportive place where you can do the
• best and most rewarding work of your career. If this sounds like you, even if
• you don't check every box, we'd love to hear from you.
• We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select
• positions, we are open to hiring fully remote candidates. We post our positions
• in the location(s) where we are open to having the successful candidate be
• located.