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
Requirements
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
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, 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
Preferred Certifications:
Certified Information Systems Security Professional (CISSP)
Certified Information Systems Manager (CISM)
Certified Information System Auditor (CISA)
Certified Ethical Hacker (CEH)
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.
Educa
Benefits
Vision insuranceRemote work options
Additional Information
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.