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

23 days ago

Vienna, AustriaStaff+

Responsibilities

Define and own end-to-end architecture for enterprise Credit Risk data platforms.
Design scalable ETL/ELT solutions using Databricks Lakehouse architecture, Spark, and cloud-native technologies.
Lead development of large-scale data ingestion and processing pipelines across structured and semi-structured source systems.
Design enterprise data models for Risk Analytics and Credit Risk, including data layers, ingestion zones, curation processes, and consumption models.
Establish architectural standards, reusable design patterns, coding practices, engineering governance, and technology roadmaps.
Review and approve technical designs, data models, and integration approaches.
Optimize data processing, storage, compute performance, scalability, resilience, and security.
Implement metadata management, data lineage, data quality, governance, and platform observability capabilities.
Provide technical leadership, mentoring, solution governance, stakeholder management, and delivery oversight.
Support production issue resolution, root cause analysis, operational support, and continuous improvement.

Extensive experience designing and delivering enterprise-scale Databricks Lakehouse solutions.
Strong data engineering and data modelling expertise, including Data Vault, dimensional modelling, star schemas, canonical data models, and Lakehouse architectures.
Proven end-to-end solution delivery experience spanning requirements analysis, architecture, development, testing, deployment, productionisation, operational support, and continuous improvement.
Advanced hands-on expertise across Azure, Databricks, GCP, AWS, and dbt.
Extensive experience building and optimizing ETL/ELT frameworks with Spark, PySpark, SQL, Delta Lake, and cloud-native services.
Strong knowledge of data quality, data lineage, metadata management, data governance, and platform observability.
Experience leading cross-functional teams using Scrum, Kanban, and SAFe methodologies.
Demonstrated technical mentoring, solution governance, stakeholder management, and delivery leadership capabilities.
Expertise with Python, SQL, SQL Server, Oracle, PostgreSQL, Snowflake, Teradata, Git, Azure DevOps, GitHub, Jenkins, CI/CD pipelines, and Terraform.
Ability to translate complex credit risk and analytics requirements into robust technical solutions across business and technology teams.

International community of talented and passionate colleagues with opportunities to learn and collaborate.
Interest groups and clubs for discussions and project participation.
Fully equipped Erste Campus Health Centre offering medical services during working hours.
Employee discounts and special conditions for financial services, insurance, supermarkets, clothing stores, and other services.
Employee Referral Program with rewards for successful IT referrals.
Competitive performance-related salary; the stated collective-agreement minimum is EUR 64,554 gross per year.
Equal-opportunity workplace emphasizing diversity and inclusion.