Sr. Database Engineer & Developer, Security Data

Overview In this role you will lead security data engineering efforts to design and operate a high-volume data platform that supports detection engineering and threat hunting. You’ll drive data standards, modeling, and governance across global security sources while collaborating with Security Operations, Threat Detection, and GRC teams. You will act as a technical authority, mentor peers, and seek continuous improvements in reliability, performance, and cost efficiency. This position combines hands-on data engineering with strategic platform direction in a world-class financial services environment. Compensation / Benefitscomprehensive health and wellness benefitsretirement planseducational assistance and training programsincome replacement for disabilitiespaid maternity and parental leavepaid vacation and holidays ResponsibilitiesArchitect and maintain high-fidelity security data models in Snowflake for detection and threat-hunting use casesIngest, normalize, enrich, and correlate raw security telemetry (logs, events, metrics, alerts, config, scanning)Define data standards, schemas, and normalization across security data sourcesLeverage SQL, Python, PowerBI, and Snowflake for analytics, reporting, and metricsCollaborate with Security Operations, Threat Detection, GRC, and other engineering teams to translate security needs into scalable data solutionsMentor and influence data engineering, security analytics, and platform strategy Key requirements10+ years in database engineering with focus on security data (logs, scanning, configuration, vulnerability)8+ years with Snowflake, relational SQL (PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB)2+ years data warehouses/data lakesProficiency with Snowflake, Databricks, BigQuery, Redshift, Azure Synapse1+ years BI reporting tools (PowerBI, Tableau)Familiarity with SIEM and cloud telemetry tools (Splunk, Cribl, Elastic, Datadog, AWS CloudTrail, CloudWatch, Azure Event Hub, S3)Experience with streaming platforms (Cribl, Kafka, Kinesis)Strong Python/SQL/Java/Scala skills; data modeling and schema designExperience with large-scale batch and streaming data, data governance and metadata managementKnowledge of AI/ML concepts and tools (e.g., Anthropic, ChatGPT, Gemini)Experience with at least one major cloud provider (AWS/Azure/Google)Preferred certifications: CISSP, CISM, CISA, CEHBachelor's degree in Computer Science or related fieldVisa sponsorship not availableStrong problem-solving and analytical abilitiesMentorship and technical leadershipCollaborative communication across teamsSnowflakeSQLPython