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
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.
