Senior Engineering Manager – Data Delivery

FinOps Weekly; Warszawa; Hybrid; PLN 300,000 - 520,000; Full time

Job summary

Samba Data Delivery is seeking a Senior Engineering Manager to lead a dual-discipline team spanning a frontend platform and data delivery. You will report to the Sr.

Director of Engineering and manage Engineering Managers and senior ICs, driving delivery across multiple streams with a focus on scale, reliability, and quality. You will set the technical direction, own hiring and performance, and collaborate with Product, Data Science, and Platform Engineering to deliver high-impact outcomes

Qualifications

• Lead, mentor, and grow Engineering Managers and senior engineers across both teams.
• Own hiring, performance management, and career development across your department.
• Set goals, rituals, and execution cadences across a geographically distributed organisation.
• Develop and execute on organisational priorities, workforce planning, and department-level objectives.
• Set the technical direction and roadmap for both teams, guiding architectural evolution.

Responsibilities

• Oversee frontend platform and data delivery architectures, ensuring scalable, reliable systems.
• Drive system re-architecture to reduce single points of failure and improve extensibility.
• Manage full-stack delivery including React-based frontend, REST/GraphQL APIs, and backend data processing.
• Champion best practices: observability, CI/CD, incident management, data quality, and testing.

Skills

Full-stack design

API design

Frontend platform engineering

Data infrastructure

CI/CD

Observability

Data quality frameworks

Testing

Mentoring

Communication

Operational excellence

Budget optimization

Tools

Databricks

Spark

Airflow

Sentry

Prometheus

PagerDuty

Job description

Samba TV# Senior Engineering Manager – Data Delivery## Job DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.We are looking for a Senior Engineering Manager to lead the Samba Data Delivery team, a dual-discipline engineering organization spanning a frontend platform team and a data delivery team, both in active, high-impact phases of platform evolution.Reporting to the Sr. Director of Engineering, you will operate as a second-line manager, leading Engineering Managers and senior individual contributors across both teams. You bring 10+ years of engineering experience, establish operational objectives and policies for your department, drive strategy across multiple work streams, and are accountable for outcomes with meaningful impact on the broader business.What You’ll DoLead, mentor, and grow Engineering Managers and senior engineers across both teams, building a high-performing oranization capable of scaling with the business. Own hiring, performance management, and career development across your department, investing in individuals at every level and fostering a culture of engineering excellence and psychological safety. Establish clear goals, team rituals, and execution cadences across a geographically distributed organisation, ensuring alignment, accountability, and high-quality delivery. Develop and execute on organisational priorities, workforce planning, and department-level objectives in partnership with senior leadership. Set the technical direction and roadmap for both teams, establishing operational objectives, guiding architectural evolution, and ensuring each platform scales reliably to meet current and future business demands. Guide the frontend platform team as the owner of Samba’s unified internal UI platform, holding the bar on platform integrity, shared component quality, and the developer experience for teams building on top of it. Drive the data delivery team’s architectural strategy through a major system re-architecture, eliminating single points of failure, building toward a lightweight, extensible pipeline model, and expanding delivery capabilities to new data types and clients. Own the technical direction for pipeline reliability, data quality, SLA management, and the API layer that bridges backend data systems with frontend tooling. Oversee full-stack delivery across the organisation, spanning React-based frontend platforms, RESTful API design and maintenance, and backend data processing systems, ensuring clean contracts between layers and sound architectural decisions across the stack. Champion engineering best practices across both teams: observability, CI/CD, incident management, on-call health, data quality frameworks, and testing coverage. Participate in department-level and cross-org architectural discussions, representing Data Delivery’s constraints, requirements, and roadmap to senior stakeholders. Partner closely with Product Management to translate business strategy into engineering roadmaps, navigate trade-offs, and ensure predictable delivery across both teams. Collaborate with Data Science, Platform Engineering, and commercial teams to ensure both platforms are well-integrated, well-governed, and fit for purpose across all downstream use cases. Engage Business Development and commercial stakeholders to support partner integrations and evolving data delivery requirements. Serve as the primary technical voice for Data Delivery with senior leadership, communicating roadmap progress, risks, and strategic opportunities clearly, and persuading stakeholders across functions on departmental priorities. Drive predictable, high-quality delivery across multiple concurrent workstreams, balancing active platform development against significant ongoing operational and KTLO responsibilities across both teams. Own operational reliability for both platforms, including on-call practices, incident response, post-mortems, PagerDuty SLA management, and the active effort to reduce operational load over time through system maturity. Define and enforce data quality and observability standards for data delivery pipelines, ensuring accuracy and integrity of all data feeds delivered to clients and partners. Own the department budget, driving cloud cost efficiency and resource allocation decisions, including Databricks compute optimization, with a clear view of business impact.Who You Are10+ years of software engineering experience, with 4+ years in engineering management including proven experience as a second-line manager leading Engineering Managers across multiple teams. Strong command of full-stack system design, API design and maintenance (REST, GraphQL, or equivalent), clean backend-to-frontend contracts, and the architectural considerations of exposing data systems through service layers to end-user interfaces. Technical credibility across both frontend platform engineering (component architecture, design systems, micro-frontend patterns, modern build tooling) and large-scale data infrastructure (distributed processing with PySpark/Spark on Databricks, workflow orchestration with Airflow, cloud data services on AWS), with the ability to engage meaningfully with engineers on each side. Experience managing teams with high operational and KTLO load alongside active product delivery, able to protect delivery capacity, make operational work visible, and drive systemic improvements that reduce toil over time. Proven ability to set and enforce engineering standards across teams: CI/CD maturity, observability and alerting (e.g. Sentry, Prometheus, PagerDuty), data quality frameworks, and testing coverage. Demonstrated ability to establish operational objectives and policies for a department, manage complex multi-team delivery end-to-end, and be accountable for production systems and SLAs. Exceptional mentor and coach, you develop managers and senior engineers, build strong feedback cultures, and create leaders capable of operating with autonomy. Outstanding communicator across all levels, able to translate complex technical decisions for senior leadership, align diverse stakeholders in ambiguous situations, and represent your teams with clarity and credibility.PreferredExperience in ad tech, data licensing, or media technology, familiarity with data feed delivery, audience segmentation, or programmatic data flows. Hands-on background building or evolving internal tooling platforms, web applications that serve business operations teams, with backend APIs over data systems and frontend interfaces for non-technical users. Experience with FinOps practices and driving meaningful cloud cost optimisation, particularly around Databricks or Spark compute. Familiarity with data privacy regulations (GDPR, CCPA) and their practical engineering implications. Track record of managing geographically distributed teams across multiple time zones.Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.For further details, please see Samba’s