Senior Data Architect

Quick Facts

• Role: Senior Data Architect

• Focus: enterprise data architecture, data governance standards, hybrid (on-prem + cloud) environments, and AI-ready data

Description

You will shape the organization’s target-state data architecture and develop standards for data modeling, integration, storage, cataloging, sharing, archiving, and deletion. You will design end-to-end data flows across source systems, integration platforms, data repositories, reporting systems, and AI/ML solutions, ensuring data is consistent, accessible, secure, and usable for analytics, automation, and AI. The role covers on-premise, private cloud, and public cloud environments and requires strong collaboration across corporate, solution, cloud, integration, security, and AI teams.

Responsibilities

• Create and evolve target-state enterprise data architecture aligned with business, digital, and technology strategy

• Define data flow principles between source systems, integration platforms, data repositories, reporting, and AI/ML

• Design data architecture for hybrid environments (on-prem, private cloud, public cloud)

• Build conceptual and logical data models and ensure consistency of physical models

• Set standards for modeling, integration, storage, cataloging, sharing, archiving, and deletion

• Co-create the Data Governance Model (data ownership, data quality, metadata, reference data, Master Data Management)

• Identify key data domains/products and define rules for data sharing

• Design solutions for data security, access control, protection of sensitive information, and regulatory compliance

• Review and assess initiatives and projects for alignment with organizational architecture standards

• Support analytics, executive reporting, automation, AI, forecasting, customer service, and operational optimization programs

• Prepare architecture decisions, recommendations, roadmaps, and technology variant analyses

• Evaluate vendor solutions and participate in RFI/RFP procurement processes

• Mentor specialists and build organizational capability in data architecture and data management

Requirements

• Minimum 8 years of experience in data and IT technologies, including at least 4 years as a Data Architect/Lead Data Architect or similar

• Experience designing data architecture for large, complex organizations

• Very good knowledge of architectural patterns: Data Warehouse, Data Lake, Lakehouse, Data Hub, Data Fabric, Data Mesh

• Practical knowledge of data modeling, data integration, ETL/ELT, APIs, and event/stream processing

• Knowledge of Data Governance, Data Quality, Metadata Management, Master Data Management, and data lifecycle management

• Experience with at least one major cloud platform: Microsoft Azure, Google Cloud Platform, or AWS

• Knowledge of modern data platforms/tools (e.g., Databricks, Snowflake, BigQuery, Microsoft Fabric, Azure Data Platform or equivalents)

• Experience designing architectures for analytics and AI/ML solutions

• Knowledge of data security principles, access management, information classification, and GDPR (RODO) requirements

• Experience producing architectural documentation, standards, diagrams, models, and Architecture Decision Records (ADR)

• Ability to translate business requirements into architectural and technology decisions

• Independence, decision-making, and ability to align business and IT stakeholders

• Excellent Polish and English skills for documentation and working with technical partners

Benefits

• Key role in shaping the data architecture of a major energy-sector organization

• Real impact on technology decisions, architecture standards, and digital transformation direction

• Participation in strategic projects for energy, data, analytics, AI, and automation

• Ability to design large-scale solutions using diverse data sources

• Direct collaboration with management, business owners, IT teams, and leading technology partners

• Access to modern technologies and opportunity to help build a long-term data roadmap

• Stable employment, hybrid work model, and an additional benefits package

• Opportunity for expert growth and contribution to an internal community of architects and data specialists