Data Platform Engineer

SPECTRAFOR is seeking a Senior Data Engineer / Data Platform Lead to drive the design, operation, and evolution of a modern enterprise data platform. This hands-on leadership role involves managing the full data engineering ecosystem and ensuring alignment with enterprise standards while collaborating with various teams.

Responsibilities:

• Own the end-to-end data engineering platform (ingestion, transformation, storage, orchestration)
• Define and enforce best practices across tools like Snowflake, dbt, and Informatica
• Drive platform architecture, standards, and roadmap
• Evaluate and implement enhancements, tools, and modern data patterns
• Partner with Cyber Security, Cloud (AWS), DevOps, and Architecture teams
• Translate data engineering needs into scalable platform solutions
• Ensure alignment with governance, compliance, and enterprise standards
• Guide data engineers on platform usage, architecture, and best practices
• Establish and enforce dbt standards (modeling, testing, documentation)
• Ensure efficient, secure, and scalable use of Snowflake
• Promote DevOps and software engineering practices in analytics engineering
• Lead implementation of CI/CD pipelines for data workflows (dbt)
• Integrate Git-based version control and automated testing
• Partner with DevOps to improve deployment reliability and efficiency
• Ensure platform performance, reliability, and cost optimization
• Define monitoring, alerting, and support processes
• Support audits, compliance, and risk mitigation
• Maintain documentation, runbooks, and onboarding guides

Requirements:

• Strong experience with: Snowflake (architecture, administration, performance tuning)
• Strong experience with: dbt (modeling, testing, documentation, environments)
• Strong experience with: Informatica (PowerCenter and/or IICS)
• Strong experience with: AWS (data platform supporting services)
• Hands-on experience with: CI/CD pipelines (Jenkins or similar)
• Hands-on experience with: Git / GitHub version control
• Strong knowledge of: Data modeling & transformation best practices
• Strong knowledge of: Cloud security & access controls
• Strong knowledge of: Scalability, reliability, and cost optimization
• Bachelor's degree in Computer Science, Engineering, or related field
• 7+ years of experience in Data Engineering / Data Platform Engineering
• 3+ years in a technical leadership or platform ownership role
• Experience in enterprise or regulated environments preferred
• Experience supporting shared dbt/Snowflake platforms across teams
• Familiarity with data governance, metadata, and analytics catalogs
• Experience defining operating models for shared platforms