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

- **Company:** Erste Group Bank AG
- **Location:** Wien, Austria
- **Experience:** Expert
- **Salary:** €64,554.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Software Design Patterns, DevOps, Dimensional Modeling, Github, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Systems Development Life Cycle, SQL Databases, Teradata SQL, Workflow Management Systems, Enterprise Data Management, Data Processing, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Git, Data Layers, Containerization, Data Lakes, Pyspark, Semi-structured Data, Data Lineage, Data Management, Terraform, Data Pipelines, Serverless Computing, Jenkins, Databricks, Programming Languages
- **Published:** October 20, 2026
- **Apply:** https://iventajobdata.eu/bestmedia/img/2548701/2029263/cl/853cc881a78388333ae80d06d95bafb6770e19f0/L10660846#7ecd6f7bc0b4951d54f452be306336f6hqmJqwb25h

## About the Role

* 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

## Description

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.