Sr. Snowflake Engineer & Developer, Security Data Platform

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. Snowflake Engineer and Developer as part of the Security Engineering team to design and implement cutting‑edge technology to improve security posture. This is a senior role that drives engineering standards and implementation across global deployment. Responsibilities 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 , PowerBI 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. Qualifications 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, 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 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. Education Bachelor’s degree in Computer Science or a closely‑related discipline, or an equivalent combination of formal education and experience. Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position. 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. Our hybrid work schedule is four days on‑site and work remotely one day per week. 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. #J-18808-Ljbffr Dormont Manufacturing Company