Sr. Database Engineer & Developer, Security Data

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.

Responsibilities

• 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, PowerBI 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

Qualifications

• 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, PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB, etc.)
• At least 2+ years of experience with data warehouses and data lakes
• Snowflake, Databricks, BigQuery, Redshift, Azure Synapse
• At least 1+ years of experience with reporting tools such PowerBI, Tableau, etc.
• Familiarity with SIEM products such as Splunk, Cribl, Elastic, Datadog, AWS CloudTrail, 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 JavaScript
• Experience with data modeling, data normalization and schema design
• 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, Co-Pilot, etc.
• Experience with real-time analytics
• Familiarity with BI tools (Power BI, Tableau)
• Knowledge of data privacy, compliance and security best practices
• Familiar with data standards such as OCSF, OTEL, etc.
• Familiar with industry security regulations and frameworks (MITRE Attack Framework, CRI, etc.)
• Experience with at least one major cloud provider (AWS, Azure or Google)