Full Job Description
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, BigQuery, 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 metadata management
• Strong problem-solving and analytical skills
• Knowledge of data privacy, compliance and security best practices
• Familiar with data standards such as OCSF, STIX, etc.
• Experience with at least one major cloud provider
• AWS, Azure or Google
Education:
• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable.
Other Qualifications:
• As per MUFG’s Return to Office policy, a candidate must work onsite for 4 days and 1 day remotely out of either Jersey City, NJ, Tampa, FL, or Tempe, AZ office.
The typical base pay range for this role is as follows:
• New York / New Jersey: $140k–$203k
• Non–New York / New Jersey: $140k–$185k
Depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
MUFG Benefits Summary