Sr. Snowflake Engineer & Developer, Security Data Platform

Job Overview

MUFG is seeking a highly motivated Sr. Snowflake Engineer and Developer as part of the Security Engineering team to design and implement cutting‑edge technology to improve security posture. This senior role drives engineering standards and implementation across global deployment.

• Architect, build and maintain high‑volume, high‑fidelity security data management in Snowflake system supporting Pipeline (ETL, etc.) SIEM, SOAR, UEBA and detection engineering use cases.
• Lead the ingestion, normalization, enrichment, and correlation of raw security telemetry, including logs, events, metrics, alerts, config, scanning and other data types using Snowflake technology such as cortex and grid.
• Define and enforce data standards, schemas, and normalization frameworks across security data sources.
• Leverage SQL, Python, Power
  
  BI and other interfaces in Snowflake to design the right solution for data analytics, including reporting and other metrics using Snowflake cortex and grid solution.
• 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.

• At least 10+ years of experience in data engineering with significant focus on security, analytics, detection and platform engineering.
• 8+ years of hands‑on experience with various databases, relational (SQL, Postgre
  
  SQL, etc.) and no‑SQL (Mongo
  
  DB, Dynamo
  
  DB, etc.).
• At least 2+ years of experience with data warehouses and data lakes (Snowflake, Databricks, Big Query, Redshift, Azure Synapse).
• At least 1+ year of experience with reporting tools such as Power
  
  BI, Tableau, etc.
• Familiarity with SIEM products such as Splunk, Cribl, Elastic, Datadog, AWS Cloud Trail, 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 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).

• Certified Information Systems Security Professional (CISSP)
• Certified Information Systems Manager (CISM)
• Certified Information System Auditor (CISA)
• Certified Ethical Hacker (CEH)

Must work onsite for 4 days and 1 day remotely out of either Jersey City, NJ, Tampa, FL, or Tempe, AZ office (Return to Office policy).

• Bachelor's degree in Computer Science or a closely‑related discipline, or an equivalent combination of formal education and experience.

The typical base pay range for this role is:
New York…