Real job — pulled straight from Infotree Global Solutions’s careers page · Verified October 7, 2026 · No reposts.
Job description
Infotree Global Solutions is hiring a Data Platform Engineer, Lakehouse Architecture — a full-time, based in Kraków, Poland role. Apply directly on Infotree Global Solutions's careers page below.
We are seeking an experienced Data Platform Engineer to design and implement a cloud-based data lakehouse platform that ingests engineering and security tool data, transforms it through multiple layers, and serves it to both analytics dashboards and AI agents.
Experience:
- 8+ years in data engineering roles, with at least 2 years building lakehouse architectures (Bronze/Silver/Gold or equivalent medallion patterns)
- Proven track record delivering production-grade data platforms
- Experience with graph databases (Neo4j, Amazon Neptune, TigerGraph) for relationship modeling
- Hands-on with stream processing (Kafka, Flink, Spark Streaming, Kinesis)
Technical Skills (Core):
- Cloud Platforms: Deep expertise in AWS, (S3/Blob, RDS/SQL Database, managed Kafka, serverless compute)
- SQL & Data Modeling: Expert-level SQL, dimensional modeling, SCD2, normalization vs. denormalization trade-offs
- Transformation Tools: dbt, Databricks SQL, Dataform, or custom SQL/Python frameworks
- Programming: Python or Scala for data processing, scripting, and automation
- Orchestration: Airflow, Prefect, Dagster, Step Functions, or Azure Data Factory
- IaC: Terraform, CloudFormation, Pulumi, or ARM templates
Technical Skills (Preferred):
- Search: OpenSearch, Elasticsearch, or Solr for text indexing and retrieval
- Graph: Neo4j Cypher, SPARQL, or Gremlin for graph queries; experience with graph ETL
- Data Quality: Great Expectations, dbt tests, or custom validation frameworks
- Real-time: Flink, Spark Streaming, or serverless event processing (Lambda, Cloud Functions)
- Monitoring: Grafana, Datadog, or CloudWatch for data pipeline observability
Professional Skills:
- Communication: Explain technical trade-offs (cost, performance, complexity) to non-technical stakeholders
- Problem-Solving: Debug data quality issues, optimize slow queries, resolve schema conflicts
- Collaboration: Work with data scientists, DevOps engineers, and compliance teams
- Autonomy: Manage ambiguity; propose solutions when requirements are incomplete
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How do I apply for Data Platform Engineer, Lakehouse Architecture at Infotree Global Solutions?
You can view the full description and apply for Data Platform Engineer, Lakehouse Architecture at Infotree Global Solutions on EchoJobs: https://echojobs.io/job/infotree-global-solutions-data-platform-engineer-lakehouse-architecture-bdpq3.