Sr. Database Engineer & Developer, Security Data

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

MUFG is seeking a highly motivated Sr. Database Engineer as part of the Security Engineering team to design and implement cutting‑edge technology to improve the security posture. This is a senior role that drives security data engineering standards and implementation across global deployment.

• Architect, build and maintain high‑volume, high‑fidelity security data modeling in Snowflake system for detection engineering and threat hunting use cases
• Lead the ingestion, normalization, enrichment, and correlation of raw security telemetry, including logs, events, metrics, alerts, config, scanning and other data types
• Define and enforce data standards, schemas, and normalization frameworks across security data sources.
• Leverage SQL, Python, Power
  
  BI and other interfaces in Snowflake to design the right solution for data analytics, including reporting and other metrics.
• Partner with Security Operations, Threat detection, GRC and other engineering teams to translate security requirements into scalable data solutions.
• Serve as a technical authority and mentor, influencing data engineering, security analytics and platform strategy.
• Drive continuous improvement in data reliability, performance, and cost efficiency.
• Manage Data Governance with various reporting and quality checks.
• Research and look for opportunities to adopt the best practices and industry standards
• Identify opportunities to enhance the current baseline processes and configuration
• Produce engineering, integration and process related documentation.
• Manage vendor relationships to drive roadmap, solution design, implementation and troubleshooting
• Able to conduct the POC of new features to develop new solutions

• At least 10+ years of experience in database engineering with significant focus on security data (logs, scanning, configuration, vulnerability, etc.), analytics, detection and platform engineering.
• 8+ years of hands‑on experience with various databases including Snowflake, relational (SQL, Postgre
  
  SQL, etc.), no‑SQL (Mongo
  
  DB, Dynamo
  
  DB, etc.)
• At least 2+ years of experience with data warehouses and data lakes
  • Snowflake, Databricks, Big Query, Redshift, Azure Synapse
• At least 1+ years of experience with reporting tools such Power
  
  BI, Tableau, etc.
• Familiarity with SIEM products such as Splunk, Cribl, Elastic, Datadog, AWS Cloud Trail, cloud watch, Azure event hub, AWS S3, etc.
• Familiarity with streaming platforms like Cribl, Kafka, Kinesis, etc.
• Solid knowledge of ETL/ELT pipelines and data ingestion processes
• Strong programming skills in Python, SQL and/or Java/Scala and Java Script
• Experience with data modeling, data normalization and schema design
• Ability to understand, clean, and transform raw data into structure, usable formats
• Experience working with large‑scale datasets (batch and streaming)
• Experience in analyzing raw data and performing data normalization.
• Implementing data validation, quality checks and error handling
• Understanding of data governance and metadata management
• Strong problem‑solving and analytical skills
• Must have working knowledge of Artificial Intelligence and Machine Learning technologies.
  • Anthropic, ChatGPT, Gemini,…