{"id":201220,"url":"https://alion.io/job/sigma-software-group-principal-data-platform-engineer-swedish-ad-platform-3","title":"Principal Data Platform Engineer (Swedish Ad Platform)","company":{"id":6266,"name":"Sigma Software Group","domain":"sigma.software","url":"https://alion.io/company/sigma-software-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":112000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-04T13:03:41Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-22T18:30:06Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Join a greenfield initiative focused on building a next-generation AI-first data platform for a global AdTech ecosystem. We are looking for a Principal/Staff Data Platform Engineer who will drive architectural decisions, establish engineering standards, and shape the foundation for scalable analytics and AI capabilities.\nAs part of Sigma Software, you will collaborate with experienced engineering teams and contribute to a platform designed around immutable event-driven architecture, governed data contracts, and modern lakehouse principles. This role is ideal for a Principal-level engineer who enjoys solving complex distributed systems challenges and influencing platform strategy from day one.\nWe offer the opportunity to work on large-scale international products, collaborate with highly skilled professionals, and contribute to a technically ambitious environment with long-term growth potential.\nCUSTOMER\nOur Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and major global publishers. Their solutions improve transparency and operational efficiency in digital advertising and are trusted by globally recognized brands including TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones. The company processes millions of advertising transactions worldwide and is actively investing in AI-driven data capabilities.\nPROJECT\nThe project focuses on building a modern data platform from the ground up with an emphasis on immutable event streams, governed canonical models, semantic layers, and scalable analytics infrastructure. The platform will support analytical workloads, operational data products, AI applications, and future customer-facing data experiences.\nAs a Principal / Staff Data Platform Engineer, you will own key architectural decisions, define scalable engineering standards, and help deliver the first production-ready version of the platform in a high-scale AdTech environment.\nKey Technologies: Apache Iceberg, Spark, Flink, Trino, AWS, Python, Scala, Java, CI/CD, Infrastructure as Code\n Lead the technical design and architecture of a modern enterprise-scale data platform\nDefine scalable data flows from Iceberg-based event storage into analytical and operational data products\nEvaluate and select technologies for orchestration, transformation, querying, serving, and storage\nDesign reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains\nEstablish scalable engineering patterns for batch and near-real-time processing\nBuild reliable and observable data pipelines for high-volume AdTech workloads\nImplement data quality, lineage, observability, and reconciliation capabilities\nCollaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards\nDefine tenant isolation, access control, and regional data boundary strategies\nEstablish standards for testing, deployment automation, schema evolution, and versioning\nOptimize platform performance, scalability, and infrastructure costs\nMentor engineers and contribute to engineering excellence across the team\nPartner closely with leadership and cross-functional stakeholders\n 8+ years of experience designing and operating production-grade data platforms\nStrong expertise in distributed data systems and high-volume event-driven architectures\nDeep understanding of modern lakehouse architectures and Apache Iceberg\nAdvanced SQL skills and production experience with Python, Java, Scala, or similar languages\nExperience with distributed processing and query technologies such as Spark, Flink, or Trino\nStrong knowledge of data modeling, partitioning strategies, and performance optimization\nProven experience building batch and near-real-time data pipelines\nHands-on experience with AWS cloud infrastructure\nStrong understanding of CI/CD pipelines, Infrastructure as Code, and production observability\nExperience implementing data contracts, schema evolution, and data quality frameworks\nAbility to make pragmatic architectural decisions in greenfield environments\nUpper-Intermediate or higher English level\nStrong communication and technical leadership skills\nWILL BE A PLUS\nExperience in AdTech or other high-volume event-processing domains\nExperience designing multi-tenant SaaS data architectures\nFamiliarity with semantic layer technologies\nExperience supporting both analytics and ML/AI workloads\nUnderstanding of privacy regulations and data residency requirements\n What success looks like within your first six months:\nThe first production data foundation is running.\nClear architectural decisions have been made and documented.\nEvents entering the data platform have enforceable contracts.\nCore canonical entities exist and are tested.\nData quality and lineage are observable.\nOther engineers can contribute without needing to understand every implementation detail.","description_format":"text","description_chars":4969,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software 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