Data Architect - Critical Network Infrastructure

Quick Facts

• Role: Data Architect (Critical Network Infrastructure)

• Focus: Unified data model, semantic layer, geospatial data layer, and governance for asset and risk data

Description

Design and develop a unified data model covering asset, inspection, incident, geospatial, and consequence data across multiple products. Apply medallion architecture (Bronze/Silver/Gold), define the semantic layer, and model data for probabilistic risk while ensuring data quality and traceability. Collaborate to deliver production pipelines and serving layers that support reporting, risk models, and application consumption.

Responsibilities

• Design and implement a unified data model across products for asset, inspection, incident, geospatial, and consequence data using medallion architecture

• Define semantic layer for downstream applications, reporting, and risk models

• Model data for probabilistic risk models with defined sources, transformation paths, and data-quality expectations

• Design entity resolution and ingestion patterns for batch, streaming, and CDC, including schema evolution and SCD

• Build shared geospatial data layer (centerlines, consequence areas, right-of-way corridors, parcel data) with linear referencing and dynamic segmentation

• Define data governance standards (cataloging, metadata, lineage, data quality, validation, access control, tenant isolation)

• Partner with data engineers to turn designs into production pipelines; contribute to schema deployment and transformation logic as needed

• Collaborate with application engineers and data scientists on data consumption via serving layers, feature stores, and APIs

• Optimize performance and cost via partitioning, clustering, file layout, and compute sizing

• Work with subject-matter experts to translate business and regulatory requirements into data structures and maintain architecture documentation and data dictionaries

Requirements

• 5–8 years of experience in data architecture, data modeling, or senior data engineering; ownership of a non-trivial data model

• Hands-on Databricks experience, including Delta Lake, Unity Catalog, SQL Warehouses, and orchestration

• Strong understanding of lakehouse, medallion architecture, dimensional modeling, and semantic layer design

• Advanced SQL; proficiency in Python or PySpark

• Experience with at least one major cloud platform (Azure preferred)

• Practical experience with CDC, SCD, schema evolution, and data-quality frameworks

• Working knowledge of data governance: cataloging, lineage, classification, access control, and encryption

• Strong documentation, analytical, and communication skills

Benefits

• Agile and friendly atmosphere with non-violent communication and respect for diversity

• Hybrid work model

• B2B contract remuneration: 1,400–1,600 PLN net/MD