Senior Data Engineer

Pay Rate: $80-110 per hour

Work Mode: REMOTE

Duration: 12 Months

Summary:

• The Data Engineering Platform Lead is responsible for the overall design, operation, and evolution of enterprise data platforms supporting analytics, integration, and business intelligence.
• This role owns the data engineering platform stack—including Snowflake, Informatica, dbt, AWS, and CI/CD tooling—and serves as the primary interface between data engineering teams and partner organizations such as Cyber Security, Cloud Infrastructure, DevOps, and Enterprise Architecture.
• This is a handson technical leadership role with strong platform management and communication responsibilities, ensuring platforms are secure, scalable, costeffective, and aligned with enterprise standards.

Responsibilities:

• Platform Ownership & Strategy:
  • Own the endtoend data engineering platform, including data storage, ingestion, transformation, orchestration, and DevOps tooling.
  • Define and maintain platform standards, reference architectures, and best practices for data ingestion, transformation, and warehousing.
  • Drive platform roadmaps and adoption of modern data engineering patterns.
  • Evaluate and recommend platform enhancements, tooling upgrades, and new capabilities.
• CrossFunctional Collaboration:
  • Act as the primary point of contact with Cyber Security, Cloud Infrastructure, DevOps, and Enterprise Architecture teams.
  • Translate data engineering needs into platform and infrastructure requirements and ensure alignment across teams.
• Technical Leadership:
  • Provide technical leadership and guidance to data engineers using the platform.
  • Establish and enforce dbt standards, including project structure, naming conventions, and data quality practices.
  • Guide solution designs to ensure efficient, secure, and scalable use of Snowflake and dbt.
  • Promote software engineering and DevOps best practices for analytics engineering.
• DevOps & Automation:
  • Lead implementation of CI/CD pipelines for data platforms, including dbt deployments.
  • Integrate Gitbased workflows, automated testing, and controlled promotion across environments.
  • Partner with DevOps teams to improve reliability, repeatability, and release confidence.
• Operational Excellence:
  • Ensure platform reliability, performance, and cost optimization.
  • Define monitoring, alerting, and support models for platform services.
  • Support compliance, audit, and risk remediation activities.
  • Maintain platform documentation, runbooks, and onboarding materials.

Requirements:

• Strong experience managing and operating enterprise data platforms, including Snowflake, Informatica, dbt, and AWS.
• Handson experience with DevOps and CI/CD, including Git/GitHub and Jenkins.
• Strong understanding of data modeling and transformation best practices, cloud security, and platform scalability.
• Excellent verbal and written communication skills.
• Proven ability to work across multiple teams with differing priorities.
• Comfortable leading design reviews, architecture discussions, and platform governance forums.
• Ability to influence without direct authority and drive adoption of standards.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 7 years of experience in data engineering or data platform engineering.
• Minimum 3 years in a technical lead, platform lead, or principallevel role.
• Experience in large enterprise or regulated environments preferred.

Preferred Skills:

• Experience supporting federated development teams using shared dbt and Snowflake platforms.
• Familiarity with data governance, metadata management, and analytics catalogs.
• Experience defining operating and support models for shared platforms.