Lead Data Platform Engineer

🕒 June 11

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saas.group

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

saas. group is a company that acquires SaaS companies with a focus on bootstrapped businesses. They utilize a founder-friendly approach to enhance products and scale teams, ensuring that the company's original identity is preserved. saas. group offers a supportive exit strategy for founders, prioritizing the legacy and growth of the companies they acquire. They are committed to a streamlined acquisition process with minimal legal back and forth, focusing on product-led growth, community support, and empowering founders with financial freedom. The company specializes in small to mid-sized SaaS companies with recurring revenue models, aiming to elevate these businesses to become market leaders.

📋 Description

• Audit and map the existing cloud and data platform architecture identify critical risks, dependencies, and improvement opportunities • Take ownership of core platform components from data ingress to reporting, supported by structured knowledge transfer where needed • Establish full internal ownership of the new cloud-native data platform • Improve data quality controls, validation processes and operational safeguards • Build a pragmatic post-migration roadmap focused on stability, scalability, data quality, cost efficiency and business continuity • Strengthen monitoring, alerting, and observability for business-critical data workflows and IVW/OEWA delivery pipelines • Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations • Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery and reporting logic • Ensure reliability, scalability and performance through strong monitoring, observability and incident management practices • Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability and business continuity • Collaborate closely with Product, Customer Success and Leadership to translate business requirements into scalable technical solutions • Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation and code reviews and establish standards for safe, effective use • Work with external specialists where useful and establish sustainable internal ownership of all critical platform components

🎯 Requirements

• 5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments • Solid Go (Golang) proficiency is required. Our core backend systems, including ingress collectors, Pub/Sub processors, Dataflow jobs, batch loaders, controllers and CLI tools are written in Go. • Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, Cloud SQL • Strong SQL and analytical data modeling skills; familiarity with SQLMesh (or similar dbt-style orchestration tools) is a significant plus • Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; Cloud Run-style serverless, not cluster Kubernetes) • Experience with Protobuf or comparable schema definition and serialization frameworks • Familiarity with IVW, OEWA or comparable digital audience measurement standards or a genuine interest in the web analytics domain and the ability to ramp quickly • Experience with AI coding assistants and coding agents (Claude Code, Codex, or similar) and sound judgment in reviewing AI-generated code for quality, security, and operational risk • Excellent communication skills with both technical and non-technical stakeholders • Fluent German (C1) required; good English for technical documentation and saas.group collaboration.

🏖️ Benefits

• Ultimate flexibility: We’re 100% remote. You can work from wherever you like, whenever you like. • Freedom and autonomy: We’re a high-trust team, and you’ll be given lots of flexibility to solve problems in your own way, with plenty of help from the team when you need it. • Minimum bureaucracy: We don’t like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable. • Small & friendly team: We help each other out, have fun, and joke around. • Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.