Senior Data Platform Engineer

We are seeking a Senior Data Platform Engineer to design build and operate a scalable secure and governed data platform supporting security audit operational and analytics workloads.

This role is primarily focused on data engineering and data platform development including data architecture ingestion pipelines data modeling quality controls governance and integration with analytics and security platforms. The successful candidate will have strong experience designing and operating data platforms building reliable batch and streaming pipelines and managing large volumes of structured and semi-structured data.

The role requires close collaboration with security infrastructure and application teams to deliver trusted high-quality data that enables monitoring reporting threat detection compliance and business insights.

Your key tasks 

Data Platform Architecture

• Design and evolve scalable data platform architectures for security audit operational and analytics data
• Define data storage strategies schemas data models partitioning retention and lifecycle management approaches
• Evaluate and prototype new technologies and architectures to improve scalability performance and cost efficiency

Data Engineering & Pipelines

• Design build and maintain batch and streaming data pipelines
• Develop robust ingestion frameworks for logs audit data application events security telemetry and operational datasets
• Implement data transformation enrichment normalization correlation and aggregation processes
• Ensure pipelines are reliable scalable observable and resilient

Data Modeling & Storage

• Design relational analytical and event-based data models
• Optimize database structures query performance indexing and storage efficiency
• Support the implementation of data lake warehouse and lakehouse concepts where appropriate

Data Quality & Governance

• Define and implement data quality controls across ingestion and transformation layers
• Develop validation reconciliation deduplication and completeness checks
• Support data lineage metadata management ownership retention auditability and regulatory requirements
• Implement controls for sensitive and regulated data

Platform Integration & Analytics Enablement

• Integrate data from diverse internal and external platforms applications databases APIs and messaging systems
• Deliver curated datasets that support reporting analytics observability compliance and security operations
• Support integration with SIEM monitoring and business intelligence platforms
• Collaborate with analytics and reporting teams to improve data accessibility and usability

Engineering & Automation

• Develop data engineering services tooling and automation using Python and SQL
• Contribute to CI/CD practices for data platform components
• Support infrastructure automation where required using Terraform and related tooling
• Maintain engineering standards documentation and operational procedures

Qualifications :

• 8 years of experience in Data Engineering Data Platform Engineering Database Engineering or a related field
• Strong SQL expertise including schema design data modeling query optimization indexing and performance tuning
• Experience designing and operating production-grade batch and/or streaming data pipelines
• Experience with large-scale data platforms and analytical data architectures
• Strong proficiency in Python and SQL
• Experience integrating data from multiple sources platforms APIs and event streams
• Strong understanding of data quality schema evolution lineage governance and lifecycle management
• Experience with relational databases and analytical storage technologies
• Familiarity with CI/CD concepts and Git-based development practices
• Strong analytical problem-solving and troubleshooting skills
• Experience working with sensitive security-relevant or regulated data

Preferred Qualifications

• Experience with Kafka or other streaming and messaging technologies
• Hands-on administration and search query development with Splunk (SPL) or alternative SIEM/observability stacks (Elasticsearch/Logstash/Kibana Datadog)
• Experience with modern data platform technologies such as Apache Iceberg Delta Lake Apache Hudi Trino Spark or Parquet
• Experience with data lakehouse architectures
• Experience implementing data quality frameworks and data governance controls
• Familiarity with data cataloging lineage and metadata management solutions
• Experience integrating data platforms with analytics tools such as Apache Superset Power BI Tableau or Metabase
• Experience in banking fintech cybersecurity or other regulated industries
• Working knowledge of Terraform and cloud-based data platforms

It would be a real bonus if you have

• Security telemetry and audit-event processing
• SIEM and observability integrations
• Compliance and regulatory reporting datasets
• AI/ML-ready data platform architectures
• Real-time analytics and event-driven architectures

Additional Information :

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. 

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. 

We hire compensate and promote regardless of origin age gender identity sexual orientation or any other fantastic traits that make us all unique we have done our best to write this advert in an inclusive and neutral way. 

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies and any unsolicited candidate submissions will be exempt from any payment expectations.  

#LI-Hybrid

Remote Work :

No

Employment Type :

Full-time