Principal Data Platform Engineer – Swedish Ad Platform

Sigma Software Group

Principal Data Platform Engineer building an AI-first data platform for a Sweden-based global AdTech company. Designing event-driven lakehouse architecture, governed data products, and scalable analytics infrastructure.

Posted 9/4/2026full-timeRemote • 🇩🇪 GermanyLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating production-grade data platforms, with a focus on scalable data flows, data quality, and observability. Proficient in modern lakehouse architectures, data modeling, and cloud infrastructure, while also exhibiting strong technical leadership and communication skills.

Highest-signal resume keywords

Data Platform DesignApache IcebergBatch and Near-Real-Time Data PipelinesAWS Cloud InfrastructureCI/CD Pipelines

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Advanced SQLPythonJavaScalaSparkFlinkTrinoData ModelingPerformance OptimizationData Quality Frameworks

Soft Skills

Strong CommunicationTechnical Leadership

Tools & Technologies

AWSCI/CDInfrastructure as CodeEvent ContractsSchema Evolution

Industry Keywords

AdTechHigh-Volume Event-ProcessingMulti-Tenant SaaSPrivacy RegulationsData Residency Requirements

Tech Stack

Tools & technologies

ApacheAWSCloudJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Lead the technical design and architecture of a modern enterprise-scale data platform
Define scalable data flows from Iceberg-based event storage into analytical and operational data products
Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
Establish scalable engineering patterns for batch and near-real-time processing
Build reliable and observable data pipelines for high-volume AdTech workloads
Implement data quality, lineage, observability, and reconciliation capabilities
Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
Define tenant isolation, access control, and regional data boundary strategies
Establish standards for testing, deployment automation, schema evolution, and versioning
Optimize platform performance, scalability, and infrastructure costs
Mentor engineers and contribute to engineering excellence across the team
Partner closely with leadership and cross-functional stakeholders
Deliver the first production-ready version of the platform
Establish a production data foundation, documented architectural decisions, enforceable event contracts, tested canonical entities, and observable data quality and lineage within the first six months

Requirements

What you’ll need

8+ years of experience designing and operating production-grade data platforms
Strong expertise in distributed data systems and high-volume event-driven architectures
Deep understanding of modern lakehouse architectures and Apache Iceberg
Advanced SQL skills
Production experience with Python, Java, Scala, or similar languages
Experience with Spark, Flink, or Trino
Strong knowledge of data modeling, partitioning strategies, and performance optimization
Proven experience building batch and near-real-time data pipelines
Hands-on experience with AWS cloud infrastructure
Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability
Experience implementing data contracts, schema evolution, and data quality frameworks
Ability to make pragmatic architectural decisions in greenfield environments
Upper-Intermediate or higher English level
Strong communication and technical leadership skills
Experience in AdTech or other high-volume event-processing domains (a plus)
Experience designing multi-tenant SaaS data architectures (a plus)
Familiarity with semantic layer technologies (a plus)
Experience supporting analytics and ML/AI workloads (a plus)
Understanding of privacy regulations and data residency requirements (a plus)

Benefits

Comp & perks

Full-time employment
Remote work option
Opportunity to work on large-scale international products
Collaboration with highly skilled professionals
Long-term growth potential
Opportunity to contribute to a technically ambitious environment