Sr. Database Engineer & Developer, Security Data

Job Description :

Job Title:Sr. Database Engineer & Developer, Security Data

Experience 10-13 Years

Qualification BE / B. Tech / M. Tech - Computer Engineering

Role & Responsibilities:

Key responsibilities include:

• Architected, built, and maintained high-volume, high-fidelity security data Lakehouse solutions using Snowflake to support threat hunting and detection engineering.
• Led the ingestion, normalization, enrichment, and correlation of security telemetry, including logs, events, metrics, alerts, and configuration data.
• Defined and enforced data standards, schemas, and view frameworks across security data sources, leveraging industry standards such as OCSF.
• Developed data processing, analytics, and reporting solutions using SQL and Python, leveraging AI-assisted coding and platform AI capabilities.
• Implemented Medallion Data Architecture (Bronze, Silver, and Gold layers) to ensure scalable, reliable, and optimized data processing.
• Collaborated with Security Operations, Threat Detection, GRC, and engineering teams to translate security requirements into scalable data solutions.
• Led data governance initiatives, implementing data quality checks, reporting frameworks, and continuous improvements in data reliability, performance, and cost efficiency.
• Provided technical leadership and mentorship, influencing data engineering, security analytics, platform architecture, and engineering best practices.
• Managed vendor relationships, solution design, implementation, troubleshooting, and technical documentation while driving platform enhancements.
• Conducted POCs for new technologies and platform features, researched industry best practices, and identified opportunities to optimize existing processes and configurations.

Qualifications

• 10+ years of experience in database engineering, specializing in security data Lakehouse, analytics, detection, and platform engineering.
• 8+ years of hands-on experience with Snowflake, relational databases (SQL, PostgreSQL), and NoSQL databases (MongoDB, DynamoDB).
• 2+ years of experience with data warehouses and data lakes, including Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse.
• 2+ years of programming experience in Python, JavaScript, and SQL, with exposure to AI-assisted coding and development.
• Strong expertise in data modeling, normalization, schema design, and large-scale batch and streaming data processing.
• Hands-on experience in ETL/ELT pipelines, data ingestion, data transformation, validation, quality checks, error handling, governance, and metadata management.
• Strong understanding of data privacy, security, compliance, and industry standards such as OCSF and STIX, with experience in AWS, Azure, or GCP cloud environments.