Lead ETL Developer / Technical Architect – Big Data & Credit Risk (Databricks) (all humas)

What to do:

The Lead ETL Developer / Technical Architect is responsible for the architecture, design, development, and operational excellence of enterprise-scale data platforms supporting Credit Risk and Risk Analytics within Erste Group – Credit Risk Methods. This role combines deep hands-on expertise in data engineering with technical leadership responsibilities, driving the delivery of scalable, high-performance data solutions using Databricks, Spark, and cloud-native technologies. The individual defines technical standards, leads development teams, and works closely with Risk, Data, and Business stakeholders to enable trusted, governed, and analytics-ready credit risk data.

Technical Architecture & Solution Design:

• Define and own end-to-end architecture for Credit Risk data platforms.
• Design scalable ETL/ELT solutions leveraging Databricks Lakehouse architecture.
• Establish architectural standards, frameworks, and reusable design patterns.
• Review and approve technical designs, data models, and integration approaches.
• Drive technology roadmaps and modernization initiatives.
• Ensure solutions meet performance, scalability, resilience, and security requirements.

ETL & Data Engineering Leadership

• Lead development of large-scale ETL/ELT data pipelines across multiple source systems.
• Design and implement data ingestion frameworks for structured and semi-structured data.
• Develop high-performance Spark and Databricks solutions processing large volumes of banking risk data.
• Optimize data processing, storage, and compute performance.
• Establish development standards, coding practices, and engineering governance.
• Provide technical leadership and oversight throughout the software delivery lifecycle.
• Support production issue resolution and root cause analysis.

Data Architecture & Modelling

• Design enterprise data models for Risk Analytics and Credit Risk domains.
• Implement Lakehouse architectures using Databricks and Delta Lake.
• Define data layers, ingestion zones, curation processes, and consumption models.
• Implement metadata management and data lineage frameworks.

You check these boxes:

• Databricks Champion with extensive experience designing and delivering enterprise-scale Lakehouse solutions and establishing engineering best practices.
• Strong Data Engineering and Data Modelling expertise, including Data Vault, Dimensional Modelling, Star Schemas, Canonical Data Models, and Lakehouse architectures.
• Proven experience in end-to-end solution delivery, covering requirements analysis, architecture, development, testing, deployment, productionisation, operational support, and continuous improvement.
• Strong Agile practitioner with experience leading cross-functional teams using Scrum, Kanban, and SAFe methodologies.
• Demonstrated Team Leadership capabilities, including technical mentoring, solution governance, stakeholder management, and delivery leadership.
• Advanced hands-on expertise across Azure, Databricks, GCP, AWS, and dbt.
• Expert in building scalable, resilient, and highly performant data platforms supporting Credit Risk Analytics and Enterprise Data initiatives.
• Strong understanding of data quality, data lineage, metadata management, data governance, and platform observability.
• Extensive experience designing and optimizing large-scale ETL/ELT frameworks using Spark, PySpark, SQL, Delta Lake, and cloud-native services.
• Proven ability to bridge business and technology teams, translating complex credit risk and analytics requirements into robust technical solutions across Erste Group.

Required Technical Skills

Big Data & Data Engineering

• Databricks
• Apache Spark
• Delta Lake

Data Integration

• ETL/ELT Design
• Data Pipeline Development
• Workflow Orchestration
• Data Quality Frameworks
• Metadata Management

Programming Languages

• Python
• SQL

Databases

• SQL Server
• Oracle
• PostgreSQL
• Snowflake
• Teradata

Cloud Platforms

• Databricks
• Microsoft Azure (preferred)

DevOps & Automation

• Git
• Azure DevOps
• GitHub
• Jenkins
• CI/CD Pipelines
• Terraform

Why you will like us:

• Possibility to benefit and learn from our international, talented and passionate community at Erste
• Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic
• Health Centre – The Erste Campus operates a fully equipped health center that offers all employees a high standard of medical services during working hours.
• Employee benefits – Benefit from special conditions for financial services and insurances, supermarkets, clothing stores and many more.
• Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital
• A competitive and performance-related salary dependent on your professional and personal qualifications is granted - the minimum wage for this position in accordance with the respective collective agreement is EUR 64.554,- gross per year. But this is just a formality, we are more than happy to discuss your actual expectations.