As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
As a Senior Engineer in the Marketing Platform Automation team, you'll own critical backend systems that power our go-to-market technology stack. You'll ensure seamless integration and optimal performance of marketing automation platforms (Marketo, Salesforce), with a strong focus on event-driven architecture, data pipelines, and operational reliability.
This is a backend-focused role, leveraging your strong background in Python (Flask/FastAPI, async patterns), event-driven architectures (Kafka/SQS), data integration, web services (REST/OpenAPI), cloud technologies (AWS/GCP), and containerization (Kubernetes/Docker) to build scalable, reliable revenue automation solutions. You'll design and maintain connectors to marketing automation platforms, build event ingestion pipelines, and drive operational excellence through clear SLIs/SLOs, observability, and incident-driven improvements. Strong Java experience is a plus.
Your ability to collaborate with product management, communicate complex technical tradeoffs clearly, set high standards for the team, and mentor engineers is foundational to your success. You'll engage with stakeholders across multiple locations with empathy, inspire creative problem-solving, and help foster a culture of belonging, teamwork, and ownership.
Your responsibilities span across the Marketing as well as Sales & Customer Success Platform, each of which are cross-functional teams consisting of product management, product ownership, and engineers who are responsible for our core Revenue Technology stack.
Primary Job Responsibilities
Design, develop, and maintain backend services and event-driven pipelines for our revenue platforms. Ensure the highest quality code with a focus on scalability, reliability, and maintainability. Write comprehensive tests (unit, integration, contract) and champion best practices in your team's codebase. Your hands-on backend expertise allows you to dive into the codebase when needed and set clear engineering standards
Own end-to-end event-driven systems (ingestion pipelines, connectors, data flows) with clear SLIs/SLOs (latency, throughput, delivery success rate). Lead incident response, drive post-mortem RCAs, and systematically improve monitoring, alerting, and runbooks. Champion observability-first development (structured logging, metrics, distributed tracing). Ensure your team understands the operational impact of their designs and takes responsibility for production reliability
Architect and maintain integrations with marketing automation platforms (Marketo, Salesforce, etc.). Design scalable ingestion pipelines for marketing events (clicks, opens, conversions, form submissions), ensuring deduplication, replay safety, and end-to-end SLOs. Lead connector development and data sync strategies. Partner with Enterprise Data Platform to design data warehouse ingestion and analytics capabilities. Translate business requirements into reliable, testable technical solutions
Leverage your strong background in event-driven systems, Python, data platforms, software architecture, messaging frameworks, and cloud technologies to drive the technical direction of our revenue platforms. Ensure adoption of best practices in API design, test automation, observability, and cloud-native delivery. Mentor junior engineers on system design, trade-off analysis, testing strategies, and operational excellence
Work closely with Product Management, Sales, Enterprise Data Platform, and Security teams to align engineering efforts with business goals. Translate complex technical concepts into actionable strategies for non-technical stakeholders (product, marketing, finance). Engage with B2B marketing domain experts to understand lead workflows, segmentation, and campaign orchestration requirements
Ensure high standards of performance, reliability, and security in systems owned by your team. Vigilantly identify and resolve impediments, whether technical debt, process bottlenecks, or resource constraints. Oversee the integrity of technical estimations and ensure projects are delivered on time with predictable quality
Skills and Qualifications
Bachelor's or master’s degree in computer science, Engineering, or a related field
6+ years of experience in Software Engineering with hands-on backend development
Expert-level skills in Python (Flask/FastAPI, async/await, background workers) and SQL
Hands-on experience building event-driven systems with Kafka, RabbitMQ, or SQS (partitioning, consumer groups, idempotency, retry strategies, exactly-once semantics)
Experience designing REST APIs with authentication (OAuth, JWT), rate limiting, pagination, error handling, and comprehensive testing (unit, integration, contract tests)
Experience with containerization technologies (Kubernetes, Docker) and understanding of how to build cloud-scale delivery (scalability, resiliency, recoverability)
Solid understanding of software development methodologies, Agile practices, and DevOps principles
Ability to communicate complex technical tradeoffs concisely to non-technical stakeholders (product, marketing, finance)
Experience mentoring junior engineers on system design, testing practices, and operational excellence
Familiarity with marketing automation platforms (Marketo, Salesforce) or demonstrated ability to quickly learn SaaS platform APIs and design/maintain robust connectors preferred
Understanding of B2B marketing business domains (lead scoring, segmentation, campaign orchestration, analytics) preferred
Strong Java experience and ability to work in polyglot environments preferred
Experience in the financial industry or B2B SaaS platforms preferred
Experience designing for multi-tenancy, isolation, and compliance requirements preferred
Proven track record of driving operational improvements (SLO/SLI design, on-call health, alert reduction) preferred
Working Conditions
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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