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.

Job Overview:

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.

Responsibilities:

Architect, build and maintain high-volume, high-fidelity security data Lakehouse 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, for example, OCSF, etc.

Working experience with SQL and Python to build data analytics and processing.

Leverage platform AI or AI-assisted coding for data processing and analysis

Experience with Medallion data architecture

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

Qualifications:

At least 10+ years of experience in database engineering with significant focus on security data Lakehouse (logs, scanning, configuration, vulnerability, etc.), analytics, detection and platform engineering.
8+ years of hands-on experience with various databases including Snowflake, relational (SQL, PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB, etc.)At least 2+ years of experience with data warehouses and data lakes

Snowflake, Databricks, Big Query, Redshift, Azure Synapse At least 2+ years of experience in Python, JavaScript, SQL and other programming languages with AI-assisted coding.

Experience with data modeling, data normalization and schema design

Solid knowledge of ETL/ELT pipelines and data ingestion processes with data validation, quality checks and error handling

Ability to understand, clean, and transform raw data into structure, usable formats

Experience working with large-scale datasets (batch and streaming)
Understanding of data governance and…