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Data Architect - Critical Network Infrastructure
Incubly
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted 3 days ago
About this role
Hey! Nice to see you! Let’s share our stories to get to know a bit better…. We are business and technology enthusiasts constantly hungry for new challenges, self-, and development and nothing motivates us more than great software products and happy customers. At Incubly, we believe that great people want to work with great people, so we started to build a company that would attract great minds and allow us to achieve everything without feeling that we work but just having fun. We are now working with a leading company in critical infrastructure management to transform how underground utilities are protected and maintained. With their innovative software platform, they have been helping organizations prevent damage and improve safety during excavation projects. Through this partnership, we are driving the future of infrastructure safety—using advanced data analysis and technology to create smarter, safer, and more efficient communities. Now, we are looking for a Data Architect to join their team and help shape this mission. Your daily responsibilities * Design and develop a unified data model covering asset, inspection, incident, geospatial, and consequence data across multiple products, applying medallion architecture patterns (Bronze, Silver, Gold) and defining the semantic layer for downstream applications, reporting, and risk models. * Model data for probabilistic risk models, ensuring all required input attributes have clearly defined sources, transformation paths, and data-quality expectations. * Design cross-product entity resolution and ingestion patterns for batch, streaming, and CDC sources, including schema evolution and slowly changing dimensions. * Design the shared geospatial data layer, including pipeline centerlines, consequence areas, right-of-way corridors, and parcel data, as well as linear referencing and dynamic segmentation. * Define data governance standards covering cataloging, metadata, lineage, data quality, validation, and access control, ensuring end-to-end traceability and appropriate tenant isolation. * Work closely with data engineers to translate architectural designs into production pipelines, review implementations, and contribute hands-on to schema deployment and transformation logic when needed. * Collaborate with application engineers and data scientists to define how data is consumed through serving layers, feature stores, and APIs. * Support performance and cost optimization through appropriate partitioning, clustering, file layout, and compute sizing. * Work with subject-matter experts to translate business and regulatory requirements into data structures, participate in design reviews, and maintain clear architecture documentation, diagrams, and data dictionaries. We need you to have * 5–8 years of experience in data architecture, data modeling, or senior data engineering, including ownership of a non-trivial data model. * Hands-on experience with Databricks, including Delta Lake, Unity Catalog, SQL Warehouses, and pipeline orchestration. * Strong understanding of lakehouse and medallion architecture, dimensional modeling, and semantic layer design. * Advanced SQL skills and proficiency in Python or PySpark. * Experience with at least one major cloud platform (Azure preferred). * Practical experience with CDC, slowly changing dimensions (SCD), schema evolution, and data-quality frameworks. * Working knowledge of data governance, including cataloging, lineage, classification, access control, and encryption. * Strong documentation, analytical, and communication skills, with the ability to translate complex business requirements into clear technical solutions. Would be great if you have * Experience designing geospatial data models and working with GIS tooling, spatial joins, and linear referencing. * Familiarity with multi-tenant platforms, data residency requirements, or regulated environments. * Experience with metadata and lineage tools such as Microsoft Purview or equivalent platforms. * Experience modeling data for machine learning or probabilistic risk models and designing semantic layers for BI consumption. * Databricks or cloud data certifications. * Experience using AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code. * Familiarity with pipeline or utility asset data, asset integrity concepts, and regulatory reporting requirements. * Experience migrating data from legacy desktop or spreadsheet-based systems. Our Technology Stack * Databricks, Delta Lake, Unity Catalog * Azure * SQL, Python, PySpark * Lakehouse and Medallion Architecture * GIS and geospatial data technologies Our offer In addition to great company and challenging projects, we can offer much, much more * Agile and friendly atmosphere, non-violent communication and full respect for diversity * Hybrid work model from our office at 24 Piłsudskiego Street, Łódź * Remuneration on B2B Contract: 1.400 - 1.600 PLN net/ MD