Jobs · Engineering

Senior Staff Software Engineer, Data Delivery

StackAdapt · San Francisco, CA · 1 mo ago
RemoteRemoteEngineeringFull-time

About the role

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance. Our work turns raw activity data into accurate and actionable insights.

Responsibilities

  • Shape the long-term architecture and technical direction for Data Delivery and related Stats & Analytics systems.
  • Lead initiatives that span multiple teams, systems, and product areas, helping teams align on durable technical solutions.
  • Build and guide systems that make it easier to launch new reporting, measurement, forecasting, billing, export, and analytics capabilities.
  • Make high-impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns.
  • Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps.
  • Clarify trade-offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long-term platform leverage.
  • Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance.

Requirements

Broad technical leadership: Experience shaping technical direction across teams, domains, or large platform areas.

Backend and data systems expertise: Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications.

Strategic system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.

Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.

Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.

Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.

Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.

Tech communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.

Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.

Qualifications

  • Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
  • Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus.

Skills

Technical leadership: Experience shaping technical direction across teams, domains, or large platform areas.

Backend and data systems expertise: Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications.

Strategic system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.

Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.

Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.

Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.

Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.

Tech communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.

Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.

Benefits

Highly competitive salary

Retirement/ 401K/ Pension Savings globally

Competitive Paid time off packages including birthday's off!

Comprehensive mental health care program

Health benefits from day one of employment

Work from home reimbursements

Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto

Robust training and onboarding program

Coverage and support of personal development initiatives (conferences, courses, books etc)

Access to StackAdapt programmatic courses and certifications to support continuous learning

An awesome parental leave program

A friendly, welcoming, and supportive culture

Pay

Highly competitive salary

Schedule

Flexible work schedule

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